{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Test](https://github.com/tmbdev/webdataset/workflows/Test/badge.svg)](https://github.com/tmbdev/webdataset/actions?query=workflow%3ATest)\n",
    "[![DeepSource](https://static.deepsource.io/deepsource-badge-light-mini.svg)](https://deepsource.io/gh/tmbdev/webdataset/?ref=repository-badge)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import torch.utils.data\n",
    "import torch.nn\n",
    "from random import randrange\n",
    "import os\n",
    "os.environ[\"WDS_VERBOSE_CACHE\"] = \"1\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The WebDataset Format\n",
    "\n",
    "WebDataset reads dataset that are stored as tar files, with the simple convention that files that belong together and make up a training sample share the same basename. WebDataset can read files from local disk or from any pipe, which allows it to access files using common cloud object stores. WebDataset can also read concatenated MsgPack and CBORs sources.\n",
    "\n",
    "The WebDataset representation allows writing purely sequential I/O pipelines for large scale deep learning. This is important for achieving high I/O rates from local storage (3x-10x for local drives compared to random access) and for using object stores and cloud storage for training.\n",
    "\n",
    "The WebDataset format represents images, movies, audio, etc. in their native file formats, making the creation of WebDataset format data as easy as just creating a tar archive. Because of the way data is aligned, WebDataset works well with block deduplication as well and aligns data on predictable boundaries.\n",
    "\n",
    "Standard tools can be used for accessing and processing WebDataset-format files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "e39871fd9fd74f55.jpg\n",
      "e39871fd9fd74f55.json\n",
      "f18b91585c4d3f3e.jpg\n",
      "f18b91585c4d3f3e.json\n",
      "ede6e66b2fb59aab.jpg\n",
      "ede6e66b2fb59aab.json\n",
      "ed600d57fcee4f94.jpg\n",
      "ed600d57fcee4f94.json\n",
      "ff47e649b23f446d.jpg\n",
      "ff47e649b23f446d.json\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "curl -s http://storage.googleapis.com/nvdata-openimages/openimages-train-000000.tar | tar tf - | sed 10q"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Related Projects\n",
    "\n",
    "- the (webdataset/webdataset-imagenet)[http://github.com/webdataset/webdataset-imagenet] repository contains single and multinode examples of imagenet training using WebDataset loaders\n",
    "- the new `torchdata` library in PyTorch will add native (built-in) support for WebDataset\n",
    "- the AIStore server provides high-speed storage, caching, and data transformation for WebDataset data\n",
    "- WebDataset training can be carried out directly against S3, GCS, and other cloud storage buckets\n",
    "- NVIDIA's DALI library supports reading WebDataset format data directly\n",
    "- there is a companion project to read WebDataset data in Julia\n",
    "- the `tarp` command line program can be used for quick and easy dataset transformations of WebDataset data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WebDataset\n",
    "\n",
    "WebDataset makes it easy to write I/O pipelines for large datasets. Datasets can be stored locally or in the cloud.\n",
    "\n",
    "When your data is stored in the cloud, by default, local copies are downloaded and cached when you open the remote dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import webdataset as wds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"http://storage.googleapis.com/nvdata-publaynet/publaynet-train-{000000..000009}.tar\"\n",
    "dataset = wds.WebDataset(url).shuffle(1000).decode(\"rgb\").to_tuple(\"png\", \"json\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting datasets are standard PyTorch `IterableDataset` instances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(dataset, torch.utils.data.IterableDataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd9951816c0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for image, json in dataset:\n",
    "    break\n",
    "plt.imshow(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's add some code to transform the input data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(sample):\n",
    "    image, json = sample\n",
    "    try:\n",
    "        label = json[\"annotations\"][0][\"category_id\"]\n",
    "    except:\n",
    "        label = 0\n",
    "    return 1-image, label\n",
    "\n",
    "dataset = dataset.map(preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for image, label in dataset:\n",
    "    break\n",
    "plt.imshow(image)\n",
    "print(label)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that this uses the fluid interface to WebDataset, a convenient shorthand for a lot of training loops. We'll see later what this expands to."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Expanding Samples\n",
    "\n",
    "Let's add another processing pipeline stage; this one expands a single large input sample into multiple smaller samples. We shuffle the newly generated sub-samples further to mix up sub-samples from different images in the stream.\n",
    "\n",
    "This uses the `.compose` method, which takes a function that maps an interator over samples into another iterator over samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_patches(src):\n",
    "    for sample in src:\n",
    "        image, label = sample\n",
    "        h, w = image.shape[:2]\n",
    "        for i in range(16):\n",
    "            y, x = randrange(h-256), randrange(w-265)\n",
    "            patch = image[y:y+256, x:x+256]\n",
    "            yield (patch, label)\n",
    "        \n",
    "dataset = dataset.compose(get_patches).shuffle(10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd994dbd300>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0n/7Tf5JuuOEGqb6+/qrulcFgkLRa7ZrtUqvVq/pwqZdWq5X0er0ESCqVSlKpVKv6pFarJb1ef0W/Jb+USqVkNBpf99zQaDSibZd6qVSqK/rcpb73ZszdN+Ol1WoljUYjaTQayWw2r7pPrzWGOp1OQqmQ1FqNpL6KPsvPt06nu+LrXclvXs1cere/4vH4VduQtyXG9dBDDxEMBvnqV7/K0tISmzZt4oknnrgoYeO1IF2BtX+zjtGye09a3hG/GVAqlBj1BkrFEsX81V0jk8ms+f7l2rpyrC50G12Y2bkWtFotXV1dvPe97+Ub3/jGZeN3K6FSqdBqtZTL1VjQldxXGfKpYy1cygV7IVaOyYW7V0mSKJVKV/xbMiqVyiXvwdVAPt1eDvK4vdbnLvW96wUr79PV9HXlZ0uFqxujSqXyhj/fsodgHdeOt4054/Of/zzT09Pk83kOHz7Mzp07366mvCNRU1OD1WrlV7/6FXa7nZaWlre7Sa8JrVZLLBbjlVdeueKH3Wq1UiqVGBkZweVyYbVa10sc1rGOdVwW10VW4W8iyuUyiUSCY8eOEY/Hr3o3/WZC9nNfuGssl8tEo1FGR0eveCdfqVSIRqOcP3+eYrH4hpxS1rGOtxNyMsI61oZKpUKSpNd16nxbkjNeL+TkjMtBoVCsGqCr6eb6xLs0lEolWq0WpVL5G29krpd5svJZeL0LxjouD4VCgUajuWSyy+WgUqnEnJI3fu+kObYyoeJSf7vU32XICWTlclkkVl1Lcsa78sRlsVjYtGkTH/3oR/nOd77D7OwssVjsir+/Z88eQqEQo6Oj6w/5MvR6PVarld27d9PY2EixWOTv//7vrzom9W5Bd3c3LpeLw4cPv6PjRDabjfb2dj772c/y3e9+l5GREUKh0NvdLAD6+/sxmUy8/PLL74rnzGaz0dbWxp/+6Z/yjW98g5MnT17Rs6FUKrFarXzqU59Cp9PxT//0TwSDQZxOJ+3t7Rw6dOhNi6NfCZRKJTt27MDlcpFIJDh+/DipVAoAn89HS0sLbW1txONxzpw5w/T09Jq/43a76e3tpb6+nlKpRCKR4Mknn7y2Nl1zb97BKBaLIv1ZrVajUqku+VmdTkd7e/uqOjGDwYBOp3vXxFpcLhcul0uUAVwLamtr6evrIxKJMDY2xujo6FWnw16vUCqVNDc343Q6xXs6nQ6j0fg2turKUCgWKJaKaK7gWYDqztnr9V41k8FrQS5kttvt4j2dTofBYLgunjO5zESr1V7yM8VikUKhgNVqRa1WX3G/JEmiWCyKJCWVSiXqnIxG49s+PpIkEYvFkCSJu+66i/b2dhwOB1BNjlIoFJhMpsvWlGm1WhwOB21tbSwsLBCLxS47lq+F6/rEpVQqRX2R/G+oZsAlk0lCodCqnZz8GYVCQalUqhZCWixs376dVCpFKBQStRryb8n/lo/s8vsr3Y+yKwZePSZfiXvywvashOw2kH9zpZFY2W/5PdkVJP975d+ampoAiMViZLNZcUK4UleqvOhs376df/qnfyIajZLNZkVR4YXujQvbo1AoXvMaK+/fyu/I90/+e6VSQalUinZfOIZKpVLE4OT2qNVqcf1KpbJq8ZZrSlbe75V/k12jAwMDzM7OipqcC9u+st0rv7/yfXms5D5didtuZf8uvN+A6M9a91GhUFAoFKpzOxyiWHrtOKlGo6G9vR2TycTi0iKVSgUFCjHmK+f35domj4M8r9VqNZs3b2Z4eJhUKnXRuL9ZY3jh8yv3o1wuXzQPVn5n5TMG1ULsbdu2EY1GicVi1XG54HOZTLXOMplMimdDpVKJGrC1fl+e4+l0mkgksiqWvXJ81hqDcrn8lpxUJUliamoKh8PBfffdJzxRsViMeDwuaskmJydJJBLAxc+/2WzG4/HQ2trKo48+Kk6n14rr2nANDg5isVh48cUXaWtrE7uAc+fOXXQaUCqVdHR0UF9fj9Fo5KmnnsLlctHb28u/+lf/CpPJxLlz5xgeHgYQE89ms1FbW4vdbheFuZVKhYMHD1IsFtHr9dTU1NDX17eqQHd2dpalpaXLtr+lpQWfz4fX6+XJJ58UxsBisdDT04Pb7aZQKJDL5YhEIoyPj+NyufD5fDQ2NnL06FHS6TSSJLFlyxYWFxerrA+bNnHs2DGi0SiVSoWHHnoISZIYGRkR9DVarZZNmzaxuLiI3+9nenr6kobF6/XS1dXF1q1bmZyc5PTp0ywsLFCpVOjt7cVisVAsFjl69Cj5fB6dTsfmzZtFQXBzczPnz5+/ZKGoTOHj8/kolUoUi0Xq6uo4ffo0s7OzqNVquru70el0LC0t0djYSCQSYWhoSIyTyWTihRdeoL29XRQRH1+mJtq+fbsoQJ+ammLnzp3odDpKpRIHDhzA6XRis9kwm82iwFWSJI4dO4bZbGZgYIAHH3yQ4eFhzGYzJ0+eRKlUCqPhcrnEd81msyiyfPnllykUCiiVSurr62lqahIsI7Kr5FL8nFB94Nva2qivrxdsDeFwGJ1OJ4qTFxYW2Lp1K4FAgOHhYbEzVqlUNDY20trWSlt7O01NTei0F7PPrIROp2P37t3cc889WKwW8sVqwbdKpaKpoZFUKkWpVKJcLjMyMkJLSwuNjY0olUrOnDkj2HAGBgaw2+2oVCpeeuklNBoN9fX1fOxjH+PkyZO89NJLHDt2TGywZPYKk8kkXkqlklKpxJEjR0RBdX19PS0tLVitViKRiCiIHh0dXbM/SqUSp9NJfX09JpOJYDBIW1sbmUyGgwcPsmXLFnQ6nZi78sZHvo7BYODkyZPo9Xr6+/v55Cc/iVar5cyZM5w7dw6LxSLuz0svvUQ8HhfrTmtrKwaDgdraWg4cOEAkEiGXy6FUKmlsbKS5uRmTycTw8DDz8/PipCI/g1arFb1evypWplQq8fl89PT04HQ6OXv2LDMzM6TT6cve1zcCcpH4D37wA+666y5aW1uJx+PMz1fpvWKxmCh/sdvtbNy4kUAgQKVSob6+Hq/XS11dHfX19WzatImZmZnXpcF4XbsKG5sa2bl7Fwqlknwhj1qjYdfu3ZgtZuDVCjeX28WGvj4cTgdWmw2ny8mmzZvQaDSCYWJ+fp7FxUVhBNrb21Gr1Wi1Wvr6+rjtttvQ6/U4nU4aGxvZvHmz+Pfdd98tWCNuvfVWsau7FCwWC/39/bjdblERL9O+GAwGPvjAA+gNekLhEG0d7dTV11PjrcFmt9HR1YnRaGRqaor77ruPnp4e9Ho9t956K729vbjcLnL5PNt37GDL1i3kCwUy2SzRWIyFxQUSqSRNzc3cuPdGhoeHqVQquFyuS7dXAelMmmwuSy6fY3KquqsymUzce++9FAoFAoEAJpOJ3Xv2sKFvAyq1iptuvokdO3fS1d2F0WgU9C5rQalUotfr2bNnj0j7r6mpYceOHdx0800olAo2b9nM3pv20tPbi9Vmw1NTQ19/H0aTkXKlQqFY5JZbbsHn86FUKukf6MdsMaPRaKipqSGRSGAwGLjp5puJxWNIQH19Pb29vcuLexs33XwTZrNZLOCNjY3odDpCoRDZXI5oLMr8wjwKhYKOjg62bt2KWq3G4/HQ0dHBTTffhFqjwWK1sHv3burq6gRTy5133oneoGdhcZHbbr8Nl9t92d2yWq3mlltuweVykc1m2bp1K83NzdjtdhQKBdu2bWP79u3U1tZSKpVoaGjgrrvuQq1W43K5aF82VuFwhImJiStKFqhUKoQjYVLpFKl0mtnZWSqVCg0NDbzvfe+jtbUVl8uFyWTipptuWrWZa29vZ3BwkDvuuEOcerdu3UpdXR1arVacVEOhENPT04KxZvPmzeIedXV1sXfvXpRKJQ6Hg127duHz+bBardhsNu6++24UCgWhUIjbb78dm832mn3SaDRs2rSJm266CYPBgMfjobu7m/e+971oNBrcbjd79+4VDCoyp2A+nycej/OhD30Ik8kkTolzc3PEYjHsdrtYA7LZLHfccYdg4gAEp2WpVOL+++/nxhtvRKVScccddyzflypF2sDAAPfdd99FJyuVSkVtbS033HADWq0Wq9VKU1OTmMszMzOYzebLPldvNIrFIpFIhAMHDhCNRnnwwQdxOByrPBoARqOR2267jc2bN9PW1obBYCCVSgnmlKWlJSKRyOtK7rquDZfb46G3txeFUkE2l0NCYkPfBoxGI5ICWH4ZTSZqa33oDQZ0eh0ms5me3l5UajXJZFJQvvj9fkqlEl1dXdTX1wtXgkzyKu+wrVYr/f39OBwOfD4fu3fvFqerwcFByuXyZQtW9Xo9dXV1GI1G4eeXg/06nY7bb78NtUZDMBTC4/Fgd9ixOxx4ampobm7GYDQQCATYvHkztbW1qNVqNm7ciK+2Fq1ORzgSpndDL70bNpAv5EmmkoQjYRYWF0mlUtR4axgcHCQSiYj2XA7pTIZMNksmm2V6ZoZMNovFUl2cc7kcS0tLlEoltm3fRndPDwqlkr7+ftra23C6XJRKpStyifX29uJ0OsnlqryR3T097Ni5Ewloa2+nd8MGPDUeJCQsVgv9AwMYTSYkJArFAn19fRgMBnL5HG3t7RhNJlRqFWazmUQiUTWON+whXyggSZKgc6qpqcHt8dDX3y92+h0dHdTW1grDlUqnCEciLCwuCv677u5uVCoVFosFn8/Hhr4+SuUSCkX1dO/z+bDb7ZhMJnbt2oVKpWZhcYFNmzdjNBovW+KgVCrp6urCYDCQzWZFe+TFurOzk46ODkwmE4lEAofDwZ49e1Cr1eKEbLVaCQaDol7yte5BpVIhFA6TSCZJJBLiJOB0ONmzZw82mw21Wo1SqWTnzp24XC7Bi+jz+Whubqanp0e40To7O6mpqUGj0Qhi2FAoxOzsLMViUXADqtVq4dno6+sjn88Ll6XX68Vms2G1Wtm1axflcplgMMjmzZvR6XSvmbQgSRJtbW309/cDVUPm8XjYs2cPpVIJrVZLT08PHo+Hmpoa6urqaGlpoVwuk06n2bFjByqVSlCJzc7OEo1G0ev1NDQ0oNVqyWQy7Nq1axWBQiaTIZFIEI1G2b17Nxs3bkSv13PjjTfi9XoJBoMsLCzQ2trK3r170Wq1F2XmORwONm7ciEajEYkaRqORcDjM1NTUZfv9ZkB2hx46dIiFhQV27NhBfX09ZrNZGC1pmeZr06ZNNDU1YbVaKRaLxGIxQavn9/uJxWKvK6npunYVFmWmbkkin8sJRuoLMTszw+lTp2hrb8diseDxeHC5XKhX+J/z+bwgf4zFYoJA0+/3Ew6HiUQinD17lmg0SktLC3feeScnTpxAr9ej0WiEnzoUClV36JdhdAiFQjz99NO0tLSgVqupr6/H4XBgMBhQqpS4PR5UKhXZbJZAIEA4HEav13PPPfcIzkGzycyTTz7J2bNnhX98ZGSYo0ePks1kuOeee7DZbFSW2RFKpVJ18SqXqy5J4D/8h//AY489xokTJy47zpVymfIye0Q2m6WpsYnWlhbBmxgKhXj++ef55Kc/hUaj4ec/+xmxaJSTJ0/y2K8eI5lIXHZnnM1mWVpaIhgMMjMzw5kzZxgZGeFzf/AHdPd0k8tmxbUeffRRUskke264gY985CP8+te/FlxyLx18ibHRMbFbtdlsJJNJETtwOp1s376d2dlZMukMfr+fyclJdIbqSXp2dpbxiXGSiSSHDh3CarXidDqZnJykUqlQKpUo5PMUpOpuPB6PC27Hubk56ufmGB8bq7qPlxdCubZNrVajWJ6zoVCIcChEPB6/5JgUCgX+/u//vurua20lm81iNBoxm81ks1nhmjl27BjpdBqHw8Ett9yCQqFg69at7N69m69+9avEE3F8Ph+hUOg1T13yc1AsFkVfw/k8gYCfUCjEE088QSgUwmKx8MUvfhGdTofVaiUUCjEzM4Pf7+fxxx+nq6sLm81GNpvFarViMBiIRCKChUJ+NuLxOBaLBUmSCAQCgl90bGxM/K2urk7wcWo0GgDB8xcKhURMZc15W6mwtLREOBzGarVy+vRpCoUCbW1tbNmyhYmJCdLptDBYHo8Hn89HuVymr6+PZDLJz3/+c5aWlkSIIJ/Pi9jOL3/5S2prawXR9MoEr3A4zOjoKCMjI9x7771oNBra2tro7OxkZGREqL3LXKvNzc0YDAbxfZmUV95sDAwMcNddd/HHf/zHwq34VivGyzG3qakpAoEACoWCz372sywuLnLq1CmgeipLp9NEo1EOHDjA8ePHSafT9PT0CD5ZOXnu9eC6NlxKhRKVUgkKBfLjKILsK/5dV19PX18fJrOZUqnE9PQ0nZ2d4vOXq0FY67/lJI1EIkGlUmFhcYEtW7eiUqt46dBBwpHLSw04HA6RCgxV5mW5PflcVQ5DdpVls1mGhoYwmUw0NjYSi8WYnpri/NB5JEkShKXVxgEVCakigSQhD4pCqr6UCgVqtZqx0VGKhQLNTc309fXR0tLCf/2v/3Xtxq7ovkKqjmtlORAv78BlZNMZ8rkcSKBAARVJfPa1cGHw2u12E0/EmZqaqo738mfkJADlcr3M1MQkfr+fVColEhGMRiMvHz7C5o2baGpo5Ny5c+TzVXJSnVbHyeMniEQiosjb6/OBo9o/pFfvsdwWWO7PivEQAX8Fr77kPkiv/juXyxEOh1lcXMRXW8vGjRt56aWXmJmdvSwllkar4eGHH2Zufp5EPMGif4lcPodCqZAbUL3myv8texiUKiUarRaHy0k2lxXju1awfy2s+twFYyL/jk6nY2FhgUNHDlMpl0lnMpjNZn7nd3+XM2fPEI3HWFxaolQpC8+HQqkA+XdXeEQkuT9IVOS+rJgPmUxmWfFhgabmZvRGAy8e2M/8wjzpzJXHd+RxqkiSuF8VqUK5UqmOnbLahnAkwrmhcywsLAAQTySoq6tbbn/Vg+PxuLnp5puZmpzi7NA5JCTRn2oflvsmSWh1OipIROMxDEYDWp0OhVKBVJGWH1mJZCpJqVJGq1KuIvKTf1Oj1WAym/B4PITDYbHJfivLCOQaLNlde/DgQbq6uvB6vdx+xx08t+95pBX7dTnxRJKWx2Z5fGW8nhq169pwlUolyqWyCBBbrdaq681oxGA0CvkOrVZLXV0dVquVQCAg9Jt0eh3FQjWF1eFw4HA4RHKBwWDAbK7GyvR6PVqtFq1WK9jhZfdadcIqaG2rBitFvdhlFgjZzWC1WgUjvdlsxmAwCLeE2+2uLt7LJw1JkkRgXq83CGZvpVKJTqcTbTOZTEiSVA3ES6DTVt0pKpUKj9vD0uISUkUilUyxsLBAS0vLqhTltaDRaNBpq9IyVkuVoimVSqFWq8WpRKvVVn3X4QgajQatVitOCHLNx+WgUCgwGAxYrVbcbjc1NTVEIxGSySRarRaNVoter8disZDLZsnl84RCIUxmM4ZEgkwmI3Zy+Xyes2fPsmXLFvR6Pc8884zQ0kolk+h0OnFKLpfLaDUaLGazOD1rNBpMJhOFQoFoNEq5XEatUWMymbA77GQzWbRabfXkazZjsVgwmUwYDAbUajUabVWyIpfLoVarhdvY661BqVIuJxYUL2tEVCoVG/r6kEAUaxqMRqw2G1qdFq1Oi76ox2gyUZEkMUd1Oh2ZbJZ4Ik5XVxdKhQK9wVBlxrdYLpvCLyGJRAi9Xo/dbqdUKmEwGNBoNOj1etRqNeVymVQqhYSEQa8nk8mI8pOBwQH8AT/lcpl8IY/VasVoMoFCQaFYxGA04Pa4SaXTaHU6dHo9ZosZs8WM0WSqXkOjQaurzh85WUZ2K9XW1qLVacV9udwYyuzw8thoNBoMRiNGU/U9jVaDVqfDYDQI1200FsNkNqHV6VAqlctu5QoVqRpHdTidKBQKbHY7/f39pNNpZudmUS+Pj16vp1wuY7VZcbndlEslkqkksViMVCpFJBpFpVbhq60lk05TrpRJJBMUikXUajV6g6E6HmYTBqMBzfI9LRSLxBMJNmzYwNzcnMjslRNm3mxYLBZcLhdOpxODwSDY+0dHR6ux987O5RR+lVgrTSYTRqORTCaDYfleGoxGkRpvsViYmZm5pvZc14ZLNhR/+Id/KCRGamtr6ejowGw209jYKI78kiSxefNmUUOwadMmDh86xNLiEktLS9xwww00NjZy9uxZfD4fuVyOwcFB4vE4jY2NQpqho6ODjo4OGhoaaGxsxOF0sGXLFiRJEnIUs7OzzM3OEbmEFpVM3Nrf308ymWR2dpZNmzYxOzvL4uIit99+O36/n3g8jsPhIJWqGpmnnnqKv/iLv+Dmm25m5qabmJqaYmhoiHA4TE1NDW1tbcRiMWKxGLW1tWSzWerq6vD7/TQ0NHDfffcRDoeFFtEzzzzD5OTkZSe+QqGgpqZGZAVt376dV155heHhYRKJBP39/cL3/uyzzxIKhaipqREJCyuziy4HhUIhYgvyLuz4iePMzM7icrtF8Hzbtm3se/55pqem+NnPfsbnPvs5Uskk09PTvPDCC5w9e5bFxUX27dsnpDtkqZr5+XkOHz7MI488QjKZZG5ujh/+8Id0dXXR1dVFU1MTLpcLrVZLZ2cniUSCfD7PwYMHcTgc9PT0EI1GOX3yFDU1NdTW1jI4OEhdXZ3I9HQ4nVgtFiHemV12c27atImFxQVMZjP19fWkEkmUCuVlYxXFYrGqc9XWhkajwev1Ul9fz+zsLF6vF7vdLtrU0NhYbVNdnZC7+NznPscrr7wiNkID/f1IlQqTk5Nrz8uKJGKBjY2N3HzLLQQCAdra2/B4PLS0tIgT5KFDhxgcHOT2O+5gfHycZ599lkQiQaFQYPv27UiShEajERp7o6OjBAIBWltbuf997+PgwYPU1tZSV1fH4OAgjY2N1NbW0tjYiN1ux+v1iRiZnNixefNmJiYnsPgtNDQ0CP272ZnZNfujVqsZGBigqakJt9uNy+2mq6uLzs5Ompubcbnd1NbW0tnZiVar5fjx45w6dYq//Mu/ZOvWrSwuLjIzMyPEIJeWlrjllluYnZ1lamqKpqYmyuUydrsdl8tFQ2Mj6UyGVCrF1q1baWlpIZPJcODAAWZnZ0nE4/ziF7/A4/HwW7/1WwwPD5NOpzl9+rTIrKypqcaf5XRxt9tN3fI9f/zxx/k3/+bfMDU1xcTEBMeOHePEiRMiVv1mYuvWrWzcuJGdO3dy6NAh8vk8gUCAH/3oR6TSaazLsVez2SLihRs2bCCTybB//346Ozrp6e2htbVVrA27du3i3//7f39N7bmuKZ8cDkc1jdliJhFPUK6UcdgdLCwuoFSqcLmcr+7MUOD1eUmnM+TzVf2p+WWlVq/XW90h5vMkEgkaGxuFL7tcLuNwODCZTExOTmIwGMTOP5lMUt9Qzx133smBAwcol8tYLBa2bt3Kc88+x8GXXlqz/RqNBqvVSk1NjdC18ng8Qhvr05/+NOPj4wSCAcqlMvfccw+hcJj//t//G83NzWg0WqRljj85vtPc3Ew0GiWdTlMqlaivrxfZkvJpwGg0iv+2WCwiYF8sFi/LpqDVanG5XNhsNgKBQHW3LUn4fD7hPiovx86KxSLlclk8tIlE4rKxHKimYTscDr761a9y9OhRnnrqKbLZbHUjUCigUimpq6umhEeWdamUSiVGo5GGhgZRwBkMBslkMuKEWVdXh0KhELs6g8GAw+HA7XYLXkS/34/BYBDj4/dXTwtyfEr213d3d4tMM1mw1GQy4Q8E0Go1aDTVE+/iwoJIkZf9+Uqlko997GOMj48zNzeHzWYTumj/8A//sOaYKJQKGhoa0Wo0KJQKCvkCao2GUrHIkt9PQ0M9UkUiFA5TXhZsdDgdTE5MolBWXXmNDY0kU0nKpTJGo5FEIiG02C4JhYKmxkYMRiOhYJBCoYDeoMdb4xUaYKVSiZqaGmw2G3qDgUQ8TjQWo1wq4XS5qrGo5Xui1WqJJxKEQkEaGxtRUK23i0QieGo86LQ6AsEAOq0OjbZ6apmfn0enrc4JeQy1Wi2//du/zblz5wgEAlitVvr6+wkEAnz/e9+7RFeqhbEejwe1Ws3U1BRWmw3D8slofmEBnVaLw+mkUMiTTqXJF/K0tLSiUEC5VCYaixKNxlCplPh8tdV1IpcjnU7T2tZGJpMmnUpTW1eLf8lPKp3G7XZXSyKWPROlUol8IU82kxWxMI1GQ6FYoFKRKJdKxBNxan21IpEln89jNJlwu91MTU6KpIeGhgaRsbjy+X+zYbVaMRqNWK1WFhcXyeVyIrnI6XLhdrmYmJyE5Xa2tLQQjUZFSYzL5aoSO+h1LMwvCG+YXBt5tZRP17Xhglf9rvl8XrgOLsXoINdFyDL1K7Pd5Nqdq8l0qa+vp7m5mU1bNvPYY4+hVCrxer285z3v4blnn+OlAwcu+32dTicMh0ajQalUYrFY+L3f+z0OHDjA1NQUSqWST3ziE8RiMf7Lt/8LKBSoVSo0as1lE0AuhFKpFAJ0cgGknJX1eia+nA31egKucpnBv/23/5YDBw7w6KOPXrEcjcwyIBfbXvi3tYq7dTqdOPVeaZvl+XG1vJeybP0tt9zCyZMnmZycpLGxkW3btlEoFPi7v/u717yuSqUSMbq1+nMpaDSaVc/Clc7tlQWul+urWq1GrVYLzjkZWq1WbCYufK6utg9QZX6pra3l5ptv5vDhwywuLlJfX8/u3bsJh8P80z/90xX/1pVA5htUKpUXJXyt7I9WqxXuZtmdKY+DHAuSazNXQn4WlUrlVT83axV3v92Q15NrzRL8jeQqlLP5ZFzuQVs5CS9c5K5lErS1tdHU3IzFYhHS3gCnT5++ooyfC/WvZD9yX18fhw4dIhqNYrFYGBsbq/ZRAiSJUqVEqXj1+lAr2Qbk1NbXizeCQ01mp1CpVFetf3Q5TalLvX8tGm3Xuki43W56enpEWnA8Hqe5uZnJyckrKhxdqQV2tQvDtSoKXOl1LqVTtvL+Xfj3a1ncampq6O7uFl4C2SsyNjb2prjJJOnSGnsr+3M5fbDLbSpfjx7XO5EX82o3/G8ErvsT19sJo9FIfX09O3fuRKVWEY1EWVhYYHhkmGw2R+kqFw45mHzrrbdis9lQKBQEAgGGhoaIRCJvSYX82wGv10t3d7eQrh8dHWV2dvaaM47eSdBqtZjNZu68805xyh8bG2NmZoZYLHbJEo51vAqtVovNZuOOO+4QJ7yJiQkmJydFHeY63ljIKS9vxRP4G3niejuRzWYJBoOcO3dOVNeHQiHSqfQ17ajkepWhoSFcy7GCWCz2rjZa8GodVzKZJJlMChqrdwMKhQKJRIKhoSFBmCon3qwvuFeGQqFAPB7n3LlzGAwGJEliaWlJxILW8ZuH9RPXOtaxjnWs423DtZy4rmvKp2uBLBewjjcecsD5rYRMQbSOdazjNwe/MSu4Uqlkw4YNgjvtySeffNe4o95OqFQqPB4P27ZtIxgMEggEmJmZoa2tjWg0+qaIFso0WQMDAwQCAebm5gTLwTrWsY53P97VW1U5W03elTc1NbF582Z27dr1touzvVsgM3nv3r2bDRs24PP5BPeaLDPzZlyzpqaGXbt2CVmTdaxjHW8eZB2w1yOwq1Kp3jDh0Het4ZJpRTZv3iwq3E+ePCnIIdfxxkCWOjhx4oRgdb9STrxrhSylcvLkyWtO+V7HOtZx5TCbzdTW1rJ9+3bBsXq18Hq9VXmf11CjuBJc965CtVoteP9kpohkMonX6+WGG27A6/UKWiO51kCr1VblUJYLBMfHxwFEUW53d7cQ+gsEAoI1IhQKYbfbkSTpkuJ1UC1wbWhowOPxkE6nmZmZEVQ6TU1N6PV6SqUSo6OjQlpBphjKZDJ0d3czu0zCajKZhObP+Pg4KpVKyKnMzs5SU1ODw+FgaGgIvV6PwWDA7XYzMjIitMYUCgUOh4Pa2lr0ej1+v59AIECxWKSmpkbw6smyDIFAgEAg8JpUUEajkaamJpqamujs7GR+fh61Wo3ZbF5VqCuPh91uJ5/PMzU1RSaTQafT0dLSgkajoVwuMzw8LBgC2trahCinx+NhcnKSTCaDXq+ntbVVMG3Pzr5K96PX66mvr8dmsxEOh0UtXV1dHblcDoPBgMvl4uTJk4K5xGq1MjEx8Zqin+tYx28yNm/eTEtLC263m1QqxdzcHKFQiMbGRqEAcPr0aaFAoNVqBfVeJpMR7DP33nuv0BNbWlq65mzp69pwGQwGLBYLNTU14ghrNBoZGRnBvMwJJ4vd6XQ6MpmMOO7KdFH5ZZmJdDqNTq/D56vFYrWi1Wrxer2kUikaGxtpampiZGQEu91OoVBY03ApltnX3W43DocDu92OxWIhFApRKBRobm4WyqZarZZkMikoYfr7+5lfqGqC1S/r/CQSCfKFPM0tLWSz1ZufyWbxeDwMDAyQzWap8Xrx1tRUxRQLVR2jjo4OQesTj1dlLWRNI6PRiEqtxmg0Mj4+To23RojTOZ1O1Co1rmVy30sZLqVKhV6nqxoJuw2TuUohJTMC6PV6XC4XwWBQUC+5PW4sFisKEEaiobEBq80qKHDi8bhIhR8YGBAp8h6PR5yUZWFBWW1YPt3J13G6nFjM1UJumdKqra2NXC4niGNnZmZwOBzU1dVhMpsIBIOoQ6F3DBPBOtbxToPL5RJE5TKZd7lcFpt6k8lEfX09kUiE7PIaJa9/VpuVfD6PzWajtbUVm80miJuvFde1q7C7u5tbb70Vt9vNxMQEwWCQL37xi/T09KBUVglMp6enxf9XKhXMZjN2u51IJEJ7Rzs37r2RXXt2Y3PYaWpu5qGPPMS5oXOo1Coe/K0P4/P5uPHGG3nooYfYvXs3Pp/vkgOu0+lwuVzcfPPNlMtljhw5Ik5xDQ0NfO5znyMWizE2NobRaOTBDz/Irj27UWs1fPBDD3Dj3r00NTeTSCa497338enP/B46vZ6Gxgb6+vu5+dZbMJlNtHd28OGHfovu3h4MRgOSAv7dn/47Nm3ejNlioa29nd27dzM4OAjAxz72MbZv387k5CRDw+cZGBzgi3/8CGqthg19fbznttu46eabyRcK6I0G/s0X/w1Ot+uSDPdms4mmlmYe/K0P4w8EePnoUaZnZwQvn06n4wMf+AB9fX3o9Xoe/uhvYzAaGZ8Yx2AyojcaaG1v47Of+xxz8/NMTU9jMpt56OGPsHnrFnQGPQ89/BHuuOtONm3ZjM6gx2az0d7ezoc//GEmJiY4fvw4s7OzQvrdbDbz4Yd+i4okcX5kmI88/DA9PT00tzRzy3tu5X0feD87du1Ep9Oxbds2Ojo7MJiMLPn9KOA1GfLXsY7fZPj9fqamppiammJymTvx5ptvxmQykcvliMVifOxjH2PLtq14a3285/bb8AcDnDh1EqVKRSgcJhgMkkwmeeX4MSamJimWr32jeF2fuDo6Oti+fTvf/va3iUajKBQKzp07R3NzsyBblUXxZDdhOp0mEAgwPT3NiRMnqG9owOfz0dPTg8vlwuVysXv3btRqNYcOHSISiRCLxQgGgzz99NMkEolL0rk0NTWxdetW5ubmCAaDJBIJDh8+LJjDZfbsUCjEoUOHeOBDH6JQLPLcc88Rj1e1p06ePEmhUKgqn6rVDA0NoVKpqK+vr7Knl0qC+PXMmTMkEgmsVisf+chHWFxY4OyZM6jVatrb2vD5fBgMBpqamkin04TDYRRKBZl0WpxQCoUC8/PzzM3NMTY6SjKRIBgMLrsd9WQzF/e1r7+ftra2Krt1KoVCqSQajaKk6nqVlaRlKpjJyUn27NnDzTffzDPPPENdXR0ul6t6qlsm+D1y5AgPP/wwoWCQV44eJR6Pc+LECY4cOUIykWDH9h24XC6Gh4fJZrPo9XohIVNTU4N+2Q04MDCAy+Xi4Esv4ff7gaooXzAYZG52lnNnz+H1etlzwx527NzJ448/TsAfeFWOZh3rWMdFKJVKgtdUJvG+7bbb2L9/P9lslkqlwtGjR3HY7ezcuZPx8XGi0SiJeJzDhw6RSqUE1VU+nye3Bofj1eC6PnEZDAZsNhuFYpFypSx0omQ9KJlgdGW8RVYCrspNJEilUkJXyWQyoVKpKOQLBPx+hoaGSKfTVTbmQp5gKEQ4Ermk6qrBYMBTU4NKrRLXisVjKJRK9AY9KlX1fVn3R2+ougwr5TKlYpFsNksikSAWjVbJgCsV0qkUsViMbDYrWAPKy4zZyWSyqsS7vOjm8nmSyWTViChVy4J1yle1x0pV7THZiMtEqrlcjkwmQzqdJpvNCnZ1pVK1Zj+tlqoGl0zCKlUqFAvFqije8sSUBePKlTKLC4tV16UEnZ2duN3uqstyeTwKy0z8RqNR6GTJMcZgMEgkEsFoMmGz2yiVy1UxwEqFQrHKFafVarGYzVWi01KZVDLJuXPniEaj5PN5CvkC8ViccDhCMBhcNuIR/EtLNDQ0UOPxYLFYXv+EXMc63qVYKSQqx7BqamqqigmJOKFQiInJSSqShMfjQalUCqLlWCwmNrIoFEiVCpVypSp4e424rk9csvW3O+ykUkkUSgUKlZJUJk0ul0OlUK7KcLsw001WWpXfl5naj73yCuFlLS1JQfVIu6zQKpRb1xhzpUqFVqelrr6+6oJaUKBQKilXylQkCZvDjlqjrrZTqSCVSgnaH8Uyw/lKrJWZp1BUVWTX/Jvcr2XF0araawWdQY9Or0e1QpCvUqmQTCYplUqvFvBe+JuXSAyU2bPdbneVf69YWhY4XZFRqFCAUkGlUmFqcpL5uTkaGhr4yte+yve+9z1SqRQOhwOVWi3YpZPJpKDwuZDlX6lUoNXpcLmrVFgK5bLqtXL5OkiUiyXGx8Y4ePCgGIf6+nqUCsWyIrQk+n7o4EGOHD7Mn//5n1PIVWNhR44cEX1cr/Fbxzouhvx8K5VKlEolk5OTzMxWeTclqnHrtrY2GhsbmZycFJ6wSrksVLCr6wOviwjxujZchw8fJhaL8eCDD3Ls2DGy2aoy7enTp0kmkviW0y9tNhv5fJ66ujq6urqora3FbrfT2dlJV1cXLpeLAwcOiKDiH3/pj0kmqqqlv37qSerq6qivr2fXrl2cOH4c/5J/zfZMTExQeLzAn/zJn7B582bm5uaES/LcuXPs3buXLVu30tXdjdFo5Oc//znBYJD6+np8Ph+tra309vZSKpWE+F1dXR19fX20tbXR0tJCW3s7zc3N1NXV0dPTQzKZxGq14vF48Pp8NDU3s3nzZjo6Opibm0OlUvHoo49iNpv5xCc+weTyrujIkSMik7C3txeTycTCwgJut5v6+nr6+vqQKhLD589f1M9jx4+RSqf4oz/6I7yeGtEGk8kkqLhkkcDWtjbee+99zMzMkM/neeWVVzhy5AiVSqVaU7dzZzW2ptfzz//8z8zPz+P1+fB6vVWhzUSCgwcP8tLBgwykUnz605/G6XRSLBbFKfnw4cOMjIzwkd96iA9/+MPceeedRKNRnn76aTQaDZ2dnVitVhQKBaOjo2zcuFHIns/MzDAxMUEymeSzn/0sMzMzzM3NceLEiTdz6q5jHdcVgsEgLpeL97///czOzpJOp/nhD3/IF77wBVLpFDOzsxw5fJhAIMD+/fv54he/SF9fH4uLi8zOzrJv3z6yuRxLS0vce999IlY2PTl1Te25rg1XOBxmZGQEvUFPMBCkUMhz7JVjhJcFGZUKBS+//DLBYLC6I5Akjh49isVioVAoMD05RTaTxWQyEgxUXUjPPfssSAjl2lQyxamTp0gmkiwuLFyWGDWTybC4sMCLL7xAPl8lV11crLrJyqUyB/YfIBwJUypW5dHD4RDpdIZiscATjz9R9QtHolQqFQ4cOIDJZCKbzTE9NU06lWZpcYlwKMTIyAi/+tWvCAQC5HN5ctkcP//Zz5gYHycRTzAyPEIiHicSiVIsFDl96tRyNpCRaCRKMpEAFBTyeYbPD5NKpohGI8SiMUrFIo8/9hjTU1MkEmsLDibiCWamp3n+uefwL/mrY61UotFoiEQihEIhfvnoo5w7N0QqmeL8+fPEYjEKxQL7nn+epcUlJCQO7D9AKBSkXK6gUikJCoLiMo/96jHGxkarzBsSxCJRJsYneP6551hYWBCJIGqNhomJCWLRKM8//zwqlYpyuUxk2aWrUCg4ePAgyWSS+fl5KpUKs7OzQm/pyJEjTE1NEYvFmJycJBgMvqbw5TrW8ZuGWCzGzMwMBw8eZGlpiVQqRSQSqYqylkpEoxFCoTCxWAylUsm+558nkUiQSCRYWlqiuFx7+fxzzxGJRAgvP+vXincFya6cBq9QVN1vK6HX6ymXy1dVqCprJ12NUOOFkPWlLvwNg8EAsCrW9FZA5mhUq9UUi8U3pHBXZiaBS2szyTAajajV6ovig0ajUegfXcl4yFmLshDkhdc0GAyo1WqSyeRlf0en04kSCTlWJ9eTXatW0jrW8W6G/OzlcjnhSpc3gEql8qK1Tq/Xi1pZGXKYQY5jw7WR7L4rDNcbDTm+so43Fu+0cX2ntWcd6/hNxDo7/BuE9cXszcE7bVzfae1ZxzrWcWVYN1zrWMc61rGO6wrvKsMlUy69G0l03819W8e7CyqVStTovdvxdun7ySnpv6m4rrMKt23bhkqlwul0kkqlhJzGr371K4LB4KrPKpVKBgcHWVpawu/3vyPcREqlErfbjc/n4+zZs5dMTtiwYYNIyf/pT3+6KsFBzubr6elhZmaGaDT6VjV/He9AqFQqamtrsVqtnDt37i29rsvl4o477sDv97OwsPCWXv/tQG1tLdu2baOzs5P/8l/+y5vOdalQKLDb7dx4443U1dXxs5/9jGg0SqFQeFOv+3qg1+tpaGggFouRyWTIZDIAIqHjWsfsujbZHo9HcNj5fD58Ph+bN2/GaDRe9FmlUkldXZ0gZn0nQKlUYjKZqK2tvezuyWq1UldXx6ZNm9DpdKv+Jmfp1NbWiozFdbw7IZ+6bTbbqhONxWIRUhEKhQKbzYbX631L57lCocBgMNDZ2UlzczMej+ctu/bbAYVCgVarpbW1lZ07d75lpx+VSkVbWxsbN24UTD/vZMik40ajUWQgw+s/MV7Xhmt+fp6XXnqJVCrF+Pg4Y2NjwNqME/L77xSjBa/evNdq0/j4OFNTU5f87JX+zjqubyiVSux2O7fccovIwlKr1ezevZuOjg7g7ZvjpVKJeDzO6dOnr1mq4nqCJElMT0/j9/vJZDJviQdHkiRCodB1pfh9KX2+crn8uk6K17WrEKqFwk888QRKpZL6+noUCgVdXV04HA6USiVnzpyhXC6Lei5AsCa0trXidnuwWi0cffnoRYWnKpWK/oF+zBYLCuCVo6/Q3NyMyWRicXGR1tZWKpUKCwsLzM/PUyqVUCgUtLW1Ybfb0Wg0HD9+XGjU6PV6+vv7MRqNpNNp5ufn0Wq1q2qqtFotfX19aDQaMpkMZ86cWUV9dCFknkWZC0ytVuN0OmlpaUGhULC0tMTCwgIGgwGfz0ddXZ1wlzY1NZHJZMhms6RSKZqamqoUTSv0smSGkVAoxOLi4kWuSIVCgdVqpbOzE4VCQSgUYmpqCp/Ph16vR6fTiRNwNptlaGho1Xf7+/uxWqvSJgcPHqRSqaDT6ejp6aFSqZDJZDh37hwajQar1Up7ezuzs7NYLBaam5s5efIkKpUKo9FIbW0tk5OT+P3+KtFweztanY4l/xLt7e0UC0WWFheZm5ujXC6j0qgZ6O9Ho9aQz+c5deoUUBXN6+7uFpI0Z86cQafTUVtbS0NDA9lslpmZGUKhEHq9ns7OToxGY5XId24OAJvNRldXF5lMRrx/4T2U9dkaGxtJpVIMDw/T0NBAaZlIOZVKUVNTg8lkYnR0lIaGBtrb27nvvvsoFApCNubuu+9mcnISjUYjNNHK5TIKhYL6+nqMRiOZTIbGxkbK5bKYEzLdV2dnJzabDb1eTzgcJpfLkU6nL9Ioc7vdVYYWr5dz585VZXfyeUwmEy0tLTQ2NjIwMMDMzIzoq8fjwe124/V6BWddoVBgZGQEn8+Hy+XC4/Fw5swZ8Xf52dNqtXR3dwsOzdraWiYmJojH43g8HiEQOzExQSwWw2w24/P5qK2tFX1MJpP4fD6cTic1NTWcPXuWaDQqiGJdLhdut5uDBw9SLpfRaDR0d3cTj8cpFov4fD7Onz8vOE03bdqERqMhlUqJ+aJSqYRkkVqtFgKnF9YDKpVK+vv7q/yklQrHjx9HpVJhMpno7u5maWkJlUpFR0eHGA+5BspsNuNwOGhvb2fDhg1vi+q3PF+dTieZTIa5uTmhfdjY2Cj4UwuFAnV1dczMzlAqlVGqVWg0GhELNJlM1NTU4PV6OXTo0DW15bo3XOVyGb/fj8PhQKFQoNfr0ev1YqKGQiERE2pqaiIUCqHRaHA4HHg8HhxOJzqdDr1eTyaTEUbEYDBgs9txezzodDrKpbK4cS6XC4VCgcViwWAw0NDQwLPPPkupVMJoNGKz2bBYLEIgcnFxkXw+T21tLVqtFrVajcPhEMKUTU1NKJVK8RBpNBoaGxupVCpMTk4Kd8BaxkuWw25ubmZyclIYR7k41+PxEIlEcLlctLe3UygUMBgMOJ1OvF4vuVyOZDJJMpmkoaFBGB+ouijr6+sB8Pl8uN1u9u/fv+qBlDV6ZK0srVZLOp2mpqZGaPUEg0HxoM3OzgpqLq/XKwiRZZ0yWeCxUqlgNBoxm80UCgXC4TA2m40tW7YI8U2n08mmTZsE52NLS4tYMGKxGE1NTVitVpSqquyJQa+naZmlX6PVYHc40Gi11NXWoVGrmZiYQKfTYbPZBA/jSvFKi8WCWq0WWmM6nY6Ojg5hoAcGBkgmk2LxKxaL6HQ63G438/Pzq+6f0+nEbDaj0+nQarXodDpMJhMejwdJkshkMoyOjuLxeKirq2NxcVGMlbwpA4TrUK/XiyJqt9tNTU0NCoWCuro6PB4PiURCkBjX1dURDoeF6Gdzc7No27Zt2xgaGlrFECNr2NXV1Qn128HBQSYnJ1laqm4K5MVYpVIJD4Ace9VqtZRKJQYHBwkGgywtLQljYrFYMJlMYkM4PT0NvOoC37hxI+FwmFAoJJ4ZSZJoWNasU6vVbNmyhZdffhmn03nRHDeZTDgcDkFJ1tzcjMPhIB6P43Q68Xg8YkMSjUYFFdn8/DzxeBy73S5c8F6vF5VKJdYP2cuhUqkwm83CJZbNZpmcnFxFhmCxWKitrUWn01FTU4PNZmNsbEysGVu2bOHUqVNCt6qrq4uFhQVGR0eFtp/D4RAbkrc6IcTpdGKz2XA6ncId7Xa7OX78uNicNjQ0MD8/XyXFNhpRqlRolMrqOpPJCsPW0tKCwWB4XTHB69pVKEN+6OTTRiaTQavVsmPHDrZu3UpjYyMajYY777yTjo4OTCYTW7ZswVdbi0ajIRAIoNPrV0lS19TUsHnTJqzWqghaOBLGZDLR29vLtm3bBE+g2Wzm93//94Ui744dO9Dr9WSzWXK5HB/60Ifo7u7G5/Nxww03MDc3x8jIiBBdbGtr495770Wj0TA4OMg999zDwsICDQ0NbN++nfr6+lW+4Qshx8nuu+8+oTL80EMPEQgEmJiYELyMLS0t7Nq1i+HhYXK5HI1NjTgcDlpaWmhubiYej9PW1saGDRuw2+14vV7a29sZGBjg7Nmz1NXV8YlPfOIin/revXvZunUrY+PjOBwOOjs72bp1K+3t7ezYsYP3vOc9xONx2tvb2bt3Lw0NDRiNRjweD3fffTfBYFCQcRqNRrZt28YDDzzA2bNnSSQSuN1uPvzhD1NbW4vH4+F973sfPT092Gw2MpkMv/u7v8sNN9yAXq+nsbGRwcFBNm3aRKlUoquri61bt9LT00MsFsPpdPGv//W/prm5mW3btnP//feLRXTXrl2Co7G3txeT2SQCyg6Hg/vuu4/6+nomJieEsbHZbLz//e8nmUzi9/t53/veR2NjI729vTz44IMMDQ0RCoXWjDf19/ezceNGEokEY2Nj+P1+LBYLDoeDhoYGurq6SKVSeL1eNm7ciMPhIJFIMD8/TywWY3x8nJGREWZmZohEIiwsLDA8PIxCoWBgYIDbb78dhUJBT08Pe27Yw86dO8lms5jNZj75yU9itVYZ/jds2EB/fz/FYpGZmRk++tGPCkMnQz5tDg4OotPpOH36NB//+MfZvXs3tbW13HvvvWQyGY4fP87CwgKFQgG1Wo3FYuEDH/gAjY2NHD16lLvvvpv29nYAdu3aJRS3g8EgN954IzfeeOOqMVKr1dx3333ceuut4qTicDhobGxk07JxyeVy/Ot//a9pbGxcNcfz+Tytra3s2rULn88nrrN7927uv/9+cX1ZYHX37t00Nzej1+t53/vex969e9mwYQM6nQ6LxUJ9fT179uxhfHx81WZSNtAajQa9Xk9NTQ0PPvig6JuMlpYWHnjgASKRiLie/CyYzWbuv/9++vr6cDqdRKNR7r77bvbs2YNCoaC3t5fe3l7q6+s5dOgQMzMzl6WeezMwMDDA9u3bsdvtjIyMIEkSn/zkJ/H5fJRKJXEPu7u7sVqtBAIB4sv0T9u3b6e5pQWv14vL5eL222/H4XBw9OjRa27PdX/ikiFT6MtaW/l8XsieyK65WCxGLpejVCoxNzfHQx95iBqvlyeffJLx0bFVD6u8GH3xjx9haGiI48ePc/LECYKhIBqdljNnzjA1NUU8Hqe1tRWPx0NjUxObNm/iueeeo5DPV/kJDxwQD9X58+erKsaZDOFwmGKxSG9vrzjBHD58mHPnzlFfX49KpaJUKuF0OoX671pIppIs+ZcolasM9OVKmVgizsMf/W3mZmd59rnniMZj6Ax6unt6+OADD3Ds+DGGzp/HZDKjVKkE6302lxXM83v37sVitaBUqdi1ZzeZZZfsSkkUnU5HT28PDqeTaDwmBOVmZ2fFDrdSqTA+Ps7JkydJJBI0NTdjWVZRRakgk80Sj8cIBAP09w9gNJuIJeKUyiXODw+TLxb47B98jmeefYZkKkU4GuHUmdPMzswACj704QcJBAOcPHUSpVpFR3sH9Y0NIuYiu4snJybI53LU19Xh8/mYnp7m5aMvU19fj0ZTpcFyOBzEEnFMFjMP//Zv8+vHn+D06dMMDw8zMjpKT28P77n9Nv7lxz/GXeOhubUFl8fN9p07iEajPLfveUKRMFqdllQmzef/8AucPXuWo0ePUpGWT6kKUKs1dPf2YDKZePyJx1HwqnpBQ0MDarVaiJXm83kRMyoWq7I0lUqlKrWTzwuqrGKxSD6fF6rRMnVVKBzGMDPD7NwcQ+fPk8vnCAQDGM2mqlL1MtdcKpMmnkyQSqdILP+/jBpvDXfdfRcarRaVRo3eaODXTz2JTqPlpptuYmhoiFgsRrFYJBKJoFAqqyrZRgNqbZXJv1QuEY6ECYZDZLJZ7r73Hk6fPs3C/AKVcpnz588L/TSoxswy2QyRWJTjJ0/wzLIW3o1799LR3lE9jW2ublB+9ouf4w8EaGhqXDXHJ6em+PKffZmzZ84yN191Dw+PjhAJhzk/dJ66ujqamprE5k6tVpPJZIjFYrz88sscOnSIZDLJLbfcgslkYnh4mHg8Lk6N8thnMhmGhoaYnJyksbGRbdu3o9OvTqIaGR1h8e+XqK+vQ280kC/ksTsdhMIhMtkM0ViUoeHznD17llw2y73vvQ+LzYpKreIDD3yQU6dO8dRTTwk38lutH7d161acTid/8zd/QyKRIBwOc+bMGQYHBzk/fJ7x8XFOnz2D3mCgvbOD7/2ff6JQrJ58FxcXKRYKYvMzOzvL4uLi62rPu8ZwyfQ9sg9dfuDlI32lUnlVP0qSyOfznD9/nkQySUdHB+OjY4KcFRAT8ujRo2i1Wtra2qjxetEsuz3y+Tz5fF64FlOpFFKlgtVqJRaLEY/GROxIdpnJfIqysKUstCjD6/XS0NBAIpEQ6f2y6+VSqJSX+4WEUqkgn89z/PhxPB4POr2e7du388ILLxAMBnnhxRcwmUzU1dVVFzapAoqqHAtARZLEAivrZaXSafx+P8VCoaq5tcLdpVQqxeeWFpeoLOuHRaNR9Hq9EPEsFArkcjny+TwarQaD0SB89kqlglKxOh5KlVK4zar8hfmqPI1wlVaF6HK5HJllITpJkiiVy+Tz+WqQHAmNWiN02Eqlkrh2qViNA6ZSqerpxukgmUySTqVJJBKo1WpKpRLhcJjDhw/jdLloaWlhbm6OQDCAwVh1GW3eskXs9hUKBbFolLnZWWZnZ0kmk4S0Wk6cOEFNTQ1Op5MtW7YwOzNDqVKVx1GqlMJVWK5UkMoVMZ7yJmale1h+b2Wsc6U2kpgLy0J9K1255UqZ4vI9KBSqhq64HIvNZDIsLC7Q3dNNXV0dpVKJg4cOEQwGV2klqdVqTGYzyWRVMWFxcZGFhQU6OzppXJ6vK58/jVZDuVImm8kQj8fR6nS0t7czPjHB4uIimWxGKDYEgwHSqWo870J+ycpy33O5HMlUinQ6jVqtRm/QV8d5OQwgSRIS0kVzXI7R5gt5gsEgqeXfKJfLQsxUpVIRCoWora2tym8srxOZTKY6N9LpVRvglc+vDHk9kb9XlS5a7cyy2e10d3eTSCTIZDLEE4nqPVYoljec1c1INpsll82uyrqTpe7l/5bv8VuZhCNze8ptKC8/c/KYFQoFEW4wGA2o1CoUpVfnhETVjW2z2UilUq87C/O6dhWuzKSTXW8rs1jkWgH5c/JnVCoVkiTx7LPP8cwzz9Df309nZ6dwKcgoFIt873vfIxQKsWHDBjo6OkQ6vUxYq9VqMZvNLC0tEVn2kS8tLTE+Mc758+eZmZkhm82i0+loaGjAbDaj1WoFCe/KNg4MDHDvvfeK00IsFhPGa2U/VupkKZSv9lOt1pAvFNi/fz/Hjx8nm83ywQ9+kNraWmZnZ/n+975PLpejubmZnTt3imQOnU6HRr1Mlrnssy+Xy+RzeRKJBMPnz3Pu3DlGR0cvirPJ5JpD54c4e/YsExMTQoNn5f1Y2U85Lufz+appsjotGo2GUrGEWqXCYrFUg7nLBJ5yMF2hUKBSVu+fSqlEJd/XC64hNH94NVaiVqvR6rQYjUYWFxeprfVx//33Uy6XiScSRKPRaoE3Cvx+P//4j/+I3W6np6eHtrY2opEox48f5+mnn+bOO++ktbUVpVJJuVxmemaGs2fPcvbMGVLJFH6/n/3793Py5EksFgvvfe97RUxCQdUoWa1WHA7Hqv7L4y6fZmUC0wuLz+UxlMX6Vo7rynFWLo/Ryrkjv1QqFdFolNHRUVwuFz09PXR3d/P4449Xd8Mr5pi8+KRTKRYXFxk6d45z586JWKjb7cZkMr1KuKpSUalUiMfjhMNhzGYzW5djZ7Ozs2TSaSRJIhqNMjs7y9mzZ5mcnCQQCKyeWwoFSsWr7YdXs9GSySQT4+OcW26LRqO5eI7v2AEgrnNueX7mc3m2b99OZ2cnBoNBJNSsNX7yHNLr9SLRRavVriKXXWt8L3xOW5qb+eAHP4hKpSKZTBKJRMQ8Vq6Yu6oLfkvezBiNRmpqalbNidfa1L6RkD1VTqcTrVYr2pBMJikWi2g0GrLZrEiS8tTUoNPrl/ukQqVUCSMnxxxfT5zuuj5xdXV1EYlEmJmdobW9jYGNgzQ2N+HyuJEqEps2bcLj8VAsFgmHw0LDKpVK4Xa7yeVyaLVaxkZGmZiYWOWq8Pl8bNmypZpdp9UyMTbO5PgEbS2t+Nq8fOhDH2JkZIR4PM4TTzzB3NxcdVdbLPBnf/ZnhENhZpdlAMbGxohGo3zpS19iYGCApaUl5ubmmJqaorOzk5qaGpqamkRdxvve9z50Oh1qtZqWlhZGRkaw2Ww0NTVRU1MjdoMAtb7aagytxktdXR39G/p44IEHOHr0KJFQmMOHDqNVa9i8cVM1yy2VZnF+gWg0yuTUFDu376C7uxuDTs9AXz8AuWyOl156icGNG/noRz/Kxo0bCQYCLC4s8i//8i/itJjJZDj68lH6+vr4b3/7X5menmZoaIhDhw6xefNm2trasFqtIsbW399PLBbjxz/+MZFQmPvuvZdHvvgIkUiEubk5nnjiCea9XhrqG7jzjjvFA/K3f/MdMpkMTY1N1NXW0tPVjcVsRqlQUuv14fP6aGxoZPOmTXR0dIIkibF0ezx86EMfYvj8eeKJRPUa8/O0tFazLu+//360Gg0atYampiamZ2aIxauxrWgkwuLiItPT03zwgx8kGo2yuLjI8VeOceilg0xNTfHABz7I733q06TSKaKRKD/+lx/jcXv4wAc/yP79+5mfnSObzlAuVXfoUkUim85w5NBhNm7cyH/72//K2bNnGR8f58SJE8zOztLR0cF9990HVGMjLpeLnTt38swzz5DP5/F6vdx4442cPn2aU6dO4XQ6xdgGg0Ha2trw+XzV2EhPLw0NDdgsVmanZ6jx1NDU0Ej/hj4a6uqrRfuNTRj1BrRqDbVeH/v27WNsbEzMscWFRR79xS/4D//+P/CeW9/D9PQ0MzMzjIyM8Pzzz/O1r32N5uZmQqEQJpMJo7maEDExMcG2bduoVCpMTEwsu2U1jI+P87//9//m9ttvrz5H54c5duwYExMTnDlzBkAs1D6vlw09vQQDAZ5/7nmOHX2FdCrFv/uTf8f2rdsIBAJVYzo0hMPhWDXHk8kkJ0+c5NZbb+VDH3yA8+fPc/z4caFqvnv3bjKZDLOzs+zYsUO4/nw+HwMDA6RSKfbv38+LL77Ixo0b+dznPseGDRvw+/3Mz89z5swZmpqaqKuro729XSR/1Plq8XpqmLPZhUuvUq5QLpW45667RcZkfW0dWrWGeDxOna86r6VyhUQiQWN9A6VCkVpfLT/+0Y/YsX0HX/53f8ozzzxDR0cHdrudPXv28NRTT4mi3jcTjz32GO3t7Tz88MO8+OKLYvN9+vRpWlpauPuuu4lEIoyNjmIxW/jqV77KT/7v/yWVStHT3Y3DYWdsfJyf/+LnfOWrX6V/cICNmzfxnW//zTW157o2XKdPnya+rBk1PzdXlYmORpmfnwcJ9u3bh9FoJBAIEAwG+V//638xPz8vUmVlupa5uTnm5uZW1Z+EQiFOnz6NSqUS/li5Sj2XyzE9PS0MVzabrSZwhMOcPn2an/zkJ+RzeZKJBNPT0yQSCWKxmFD+TaVShMNh4vE4L730EsFgkEAgwMmTJ1laWhI7E6jKBgSDQTQaDXNzc/j9fqESDNVY3OTkJP/tv/03Tp48STgc5plnnsHv91MqlZiZmWFpaUnE+eRU51QqRSKRYN++fQwNDTGx7MaRJIlAIMDCwgLlSoVSuUQikSCZSAitsJU4fvz48gmmlnA4jN/vJxqN8sorrzA+Pi6yDI8fP878/Dz5fJ5AIIBKpeL//sv/RaVSkclkiEQixONxzp07RzweJx6Pi3GIRqNks1kK+QJ/93d/x9DQEKlUCoVCwT/8wz8wPT1NNBrl6MtHGR8bBxCxoGw2y/TMNMMjIyTiCXLZLIVCgbGxMSqPPw6AVKmAVB3raCxadYEolYQCQRLLp7FDhw5RKpVE+cX4+DiJRIIf//jHwsUYi8WIRqIU8gWee/ZZ5ufnxUnoQlaUM2fOEFrWVltcXCQUChEOhymXyxw7doxcLsfoaHVDpdfrWVhYELv073//+wwPD+P3+ymXy/z85z8nnU4Lgb8nn3ySEydO4Pf7OXDgABaLhUQiQTAYJJ/P84//+I+cPXsWlUqFw+Hg1KlTLC4uEgwGaWhoEJmkx48fF2MZ8Af4yU9+IuJAgUCAQCBALpfjBz/4AfF4XCQMqNRqUukU+Xye0dFR0uk0w8PDGAwGHA4HW7duZf/+/ZTL5WpcMRIVSSYyisUi0WiU//N//g+BQIDZ2VkkSSKRSDAxPiGepXQ6TSQSIRAIrGJnkFPo5d+Skx5mZ2fJ5XLodDphwCKRCOFwmJmZGebn5/nud7/L9PS0qJWKx+MMDw/zve99T2TgRqPRqmvyhReYmZkRmn+pVIp/+Id/YHx8fFUCxdzcHI8/Vp1vlUoFSZLQarVMTk6SzWb5u7/7O86ePUs4HCafz/P973+fWCxGLBZjZHiEXDbH5OQkk5OTTE1NodVqmZubu0gm6M3C0tKSCI/Ia1QgECASiQhZIvmZlPs1MjJCPp/nF7/4BZlshnAkQiAY5Cc/+Yk4cV8rfqNlTQwGg9DMuhTdkiw6KadZf+QjH6GhoYF9+/aJ+o5VQ6gAtUZTdWOhuCj7R05bXml8VkJmIJAXXo1GQ6FQuKoCR5VKJa4j78bkXR4gYk/wqm5YsVhc5eOX+6JYjmMVCwUK+bULBuXr5fP5i2IsrwWDwUClUrloPEwmE8VikXK5fM26ZZ/4xCdwulzsP7Cfs2fPks1kXpULX+6bXq+nWChQLpVFTZ1CqcBoMpHNZCkv18cBomziwno/k8m0SgtOdvEYjUYRb10Lsr6RfK9XZsdqNJpV9X3y/ZJdn3LdnpwCL8dLr2aeeL1eWltb8fl8gi7s5ptvriZ1hEI89thjqz4vX1ur1a5K9ZYz61bGfzRaLQ6ngzvuuINgMMiZM2eEF6O+vp7/9B//IxKgUqpQq1Ri7lwp5OdEkiRhoGTXvZyotbImTH6tvM7KuafT6S6KXa0Fg8FwzcWzssuxVCpRLBZFmcCV9FulUqFWq8U8uTA+/lZB1j6UN4XX9BuqV0M2+WzummRNrusT1+vFlQz8hYZp5aJyqYWiVCxSusT68VpprCuNDXDJRe9yKJfLF7EXlMvlNft72QdQAqlcIZ1MXfozl7jeleJS9+CNYF/QaDSoVSqK+UI1AWLlPVnuWza9xlhXIBm/eCcr7zhfq63yovJaYpaXevgvJ8op725X4lpFQdva2rjnnnt46aWXiEaj4sQzPj4u4j5rXfvC66+18XDY7ezcvgOvp4ZQIEhgyU+dr5aZqWnmZ+eolKsLcIUy19L6C58TuPS4XWrzs3Lsr/Q5ez3isiuNLLzGs3cBXs8G7o2EJEmv+9mUyhVK5Qqla7rzVfxGG64rgWyY5ILjaDQqikplhonVX3gbGrmOVVAqqwXH4XCYSqWCx+NhYmLiLa99eadjamqKJ598kqamJgYHB0mlUpw7d465ubnXnW4dj8c5ceKEyB697bbbhPz7W53KvY53H9YN1xVCzuIJBALCDSFJ0rqK7jsUKpWKpaUlMpmMuFfrWI1QKEQulxNsLQaDgXPnzhGNRl+3kc/lcszPzzM3N4fD4cBms7GwsEAwGBTZiOtYx7XiNzrG9XqwbrDWsY51rOP141piXNd1Hdfbias1Wm+W8JtarRaSFuu4Msj1Om/n9d/M+hu5Nu/NhJws8HaIKMpYWWu1jt8srLsKXwfkYmSZQWMtY6bRaAQHmhwTu5rsqUtBoVBQU1MjiFpl8to3U8xOFr5MJpOvK0j9dkGv1+NwOHA6nYTD4YvYz99syNx42WyWUCj0ho6hXNrhdrsFGfDQ0NCquWaz2URhs1wuAVUjJJPdygXfl5qnWq0Wg8GA1WoVmYSBQEAUyr5WQsobAY1GQ01NDRarlVw2y9TU1EWfkTMd3R4PCl5NmJFpstLptCAnNhgM5HI5JCSkikQkGl2VTSr/nkzqK7OxAIJ0dyVbe7lcJpfLietcDeTryJmj1+Nz9lZg3XC9DjQ3N6NSqfD7/YTD4YuMhlKpxGKx8OEPf5i6ujq+9a1vsbCw8LrjB3Ja8u7du0U1/+OPP87s7OxFqdpvJDQaDTt27OD06dPMzs6+IQb4rURNTQ27du1i+/bt7Nu3j1/+8pdv2bWVSiW7du1i69atnD9/nn379lXrDd8gyKS/N910E01NTWg0GkZHR1dtqDo6OqitrcXtdvOTn/yEZDKJJElCRqa7uxu1Ws1LL73E1NTUmoumzWajubmZ9vZ2nE4narWaffv2odVqyefznD59+g3r06VgNpu57bbb6OjqZG52lv/x3//HRZ/R6/XY7XZuv6NKNlwul0knU6Jmcnh4mM7OThobG2lsbKzKziBRLJU4cOAAqWSK4oqsP9k4Wa1WEomEyLrU6XQ4nU7uvPNOcZ1MJsPS0hJLS0uMjIxcVd80Gg0ejwen00k8Hl/TKK9j3XBdMTQaDV1dXaTTadLpNMFgcBXVy1qnLVleY3Fx8Q11aXi9Xjo7OymXy+zfv5+ZmRnS6fSbLh0Oq2m23umQhRc3b97M4cOHiUajnDx5kk2bNr3lbalUKszPz2M2m9+U3+/p6WH37t089dRT7Nu3b00vwNmzZ9HpdDz44IPo9XqOHTvGkSNHyGazoiDf5/MJmZi10N7ezl133cXf/u3fCvLojo4Ourq6MJlMbN68mSeeeOIi+qY3Eul0mkOHDuGrq72IE1BGNpsV1GLpdJpQMMRLBw7wO7/zO+j1ep5++mnGxsbw+XzccsstfOELX0Cn19PU3MRXvvIV/vkHP+Tw4cPi95xOJ7fffjsej4ehoSFhuLLZLLFYDJ1OJ07S+/fv55Of/CR6vZ6f/OQnTE5OXlVZy6XEF9fxKq5rw2Wz2TCbzajValFxrtFoBJWTw+GoEsWmUmum4CqXC1DlhzWTyQjBOIPBgMFgoFgsCumQ7du34/f7CQQC4sGQsw1lyBpIMrv3zMyMKDiUIQsfOp1O8vm8YB2wWCxChj0QCKzpdlGpVIJbrlAosLS0JLLmnE6nKKoMBoOr6kRMJpPgGZNJfF0ulxB+kzV1isWiECiUU5mLxSKpVGpVsaTs0rBarSiVSvL5PBaLhWw2K9LQZTdKjdcLK0hv4/H4JQtODYYqAa/RaCSZTJLJZMjlcoIjTq6jkzcLfr//kic/l8u1LGGyTTB6ZLJZJCTMFgt1dXWgUBCPxYRLRy6m9ng8gn1hZbHtyrkj78JlBVyz2Yzf7xfimkajUeidZbNZweAut1/mIPTU1KBUKshmskITai3IulhOlwupUiGTzRKNRDAYjXh9Xrq6ujh69KhgZ7lwM5XL5UgkEoRCIRobG4nGYkIEVf6bzWYTYp5Ol4tMOo1CqcS03Befz0dzczNOl4vssptOvs/yhmrfvn1rth9e9RbU19eTzWbJZrPE4/FV91culJckiaWlpVUlKXKGotfrvazcj7SslCCTFBdLRRKJBIVCAbPZTF1dHSMjI4IHMJ1Ok86kMZlNdHV1XZT8JW9SG5saCYfDKFVKUYsmCLMrZQrF6nXK5bKQdpHduHq9HrfbLQih1/KOrCzmlvvsdDpFP5xOJ+l0ehXt228irmvDJQvAmc1mTpw4QSQSweFwsLS0hMViobOzE71ef8naEfmYv2nTJvx+P36/n7GxMUwmEz6fj/r6ekG+6nA4uPXWWxkZGWF8fBy/349er6dSqaDVakXyhVarFRNfkiQWFhZW7Zzk6vmamhp6enpILNNCLS0t4fV6aW5uxuVycejQoTUXHzmO0dfXRyAQIBwOEw6HSSQS1QVleZLn83mi0ahQdXW73XR3d+NwOBgfH2dmZobBwUFBiiu7gFKpqjtFJsvs7Owkm80yOzu76pQpP5QdHR1otVpCoRCtra0Eg0HxYMns3P0D/a+6UVJpzp8/vyZjgExBVFdXR01NDYuLi4J+Sl6wZMFJebNwudRtWV9r9+7dTExMMD4xQSAYQKFU4nQ56ejqRKfTMXK+qlFWLpcxGAy43W4heuj3+0kvk8Je2FaTycTAwACLi4uUy2Xq6+tJp9MolUqam5upqakhssx3ODc3d9HJXN4cdHd3o9ZUN1+pVOqSu3ODwYDD6aBnWQqnyniexGa34fP5aG1tpaOjQyyMaxW4xuNxTp48yY5dO2nvaCeZSooSD3mTIBvegcEB5ubmUCmV1PpqCQaD1NXX46urpXdDL0PnzjE0NCQMWGdnJ7/3e793WYMib3Y2btwoaJNkUUer1brq/kqSRDgcplAorCK6lZWgTSYTwWDwktcChLyLPO6ykKzH4xHXkAt7k8mkED1dmfCkVqsFRZHb7cbpdqHRaslnX513xXKpyvS/XMgp03fJa4Ner8fr9bJhwwYSiQR+v18w26+EUqnEYDAI0mWlUklra6uQrunu7hZ0W8PDw5ft+7sZ13VKTltbG7lcjptvvhmr1YrL5eJP//RPGRwcFIrIl0skeP/738/73/9+XnrpJR544AE+9KEPAVW34K5du/jSl75EX18fDoeDUqkkyDzPnDlDIBBg48aN7N69m5aWFhEn+PCHP8y5c+cYGxsjHA6vkgKAqpuvu7ubvXv3cuLECex2O3/+53/O7bffLiTg5+bmhLG8EMVikXg8zvT0NGfPnmVqaopCocAjjzyCWq3mxIkTGAwGHnjgAe6//35UKhX3338/7e3tHDt2TOg1qVQq9u7dK4Q1p6amuPnmm7nzzjsBeOihh+jv7+fkyZOCUNNgMPDRj36Unp4eIXPw4Q9/mAcffFAo627atIn77rsPnU7He97zHv74S1/i6NGj6HQ6BgcHaWtrQ61WX8T2oFQqufvuu9m6dStWq5UXX3yRrVu38vnPf56amho6OzvZtWsXH//4x4Gq6+bBBx+kp6cHl8u15v1dWFhgcnKSUCjEqVOnmJyYQKFQ4Ha7USqVJBIJbr31Vm59z3vYuXMnWq2Wu+66ixtuuIGnnnqKW2+9lbvuuguPx3ORq1ehUGC32/n0pz/Nvffey5YtW9Dr9dx6663ceOONuFwuDh8+jNfr5U/+5E+or68XSrpQNVp1dXV86lOfYmKiynv4yU9+kqbmpovciTLNzoMPPsgH3v8BXnzxRQqFAr29vfz+Zz+7rBAdIRaLcfDgQcbHxy+5G5eZ3r/1rW8xNTXFxz/+cfr7+3E4HEIqQ6FQ4Knx8JnPfIa77rpLCEhOT08zPz9PIpHg0KFDgmcPqgzxZrOZ/fv3X5Y/76abbuKTn/wkL7/8MjfccAOf+tSngCqZ8J49e/j4xz9OqVSipqZGiLC6XC6sVit/9Ed/hMFg4NixY7z88stXdOKQufNkufj+/n6h5J1dlg+RXYr9/f3ccsstPPvss8wvvBp/7Ovro6GhgSNHjnD4yBHS6TS7d+9Go9WsupbZbKa2tpYdO3ZgNBqJRCK88sorZLNZent7+exnP8uhQ4fw+/00Njau6Qo0GAx0dnayZ88eenp6UCqVvOc97+Huu+9m7969TE9Ps3fvXj73uc/9RmdUXtcnrsWlRbLZLE6XE5vdTrlSplQu09beLkQEp8+eJRpbm8zx/PB5HA4nTpcTs8VMIpkAhYJUOkU2l6VULnH23FmikSgarYZiqUgunyeXzy0L3WVRKJWo1Cp8tbW43G60Oh2ZTIbFpUVisdhFLrH29nbxkDc1NaFSqRgdHSWRSNDV1UVLSwuHDx9mYWFhTYMru9sKxSK5fNWFJqc+y9LYIyMj7Ny1E6/Py7HjxzGaTURjMZKpJBMTE6TT6Yt2/8VSsarNtfwwJJNJ3G43d999twjUr+TUk2UrSuUSFanCwuIC4xMTeL011NbVolSpMFvMeDxVFv5sNks2kyGbza7pClMoFGzcuJGpqSlGR0eFCymbzdLV1bVqExIIBMRGwuFwCJLUCyHTE4ksr2VjmU6niUaj+JeWloPfEl6vl6amJnw+H3q9ns7OTnEiWItqR+arq1QqzM7OVrXdEgnuv/9+0uk0L7zwAul0mmQySSKRoL29fZXh8ng86HQ6PB4PrW1taDQapqenKeQLF42PWq2msbFRcMTll0meZcLaH/7wh5SX6Y5kl+TlyjVkDbHzQ0M47A7uvPPOqtjm5KQwbMViCalcYXpyiqmpKRKJRDWOWixSKVe1tuTNh5zlZ7VaX9OgTE9PA2C327FYLBgMBhQKhXDJygS+KrWaJf9S1S2KRKVcdV+WyiVS6RSRZamby0ICJAmjwYACBU1NTZw8eZJ0Oi3mUFUfTUVzS3M1ozIS4YnHH19FeeXz+bDb7YIT0mKxMDg4yJFDhykWXt2Ayaelnt5e9AZ9lbC5kBdEBSqViltuuYVwOFzVPFvjHpXLZRKJRJWcWV09EWZzWcrlCqFwSGwcPB4PRqPxsjyr72Zc14Zrdna26jPXanG5XRRLRRYWF2huqbq8An4/gWCATPoCWqbljU5VwiKOz+dDoVRSkSQUSkV1wUmlSKZSDA0NkU6lsdltgi29VKou1ql0CoVSgURVJdbusKNSqygUC6se3pVCgLI7r1gs4vV6yefzvPLKK4RCITZt2kRLSwtTU1OMjIxc8sGUlY5L5TJGkwmdVrtqgR4fH8flcqPT66irr1t2e0jkc3lmZ2eBV8mDV7attIIPLRAI4PV62bRpk2CNLxaLIuVezp6SBR39fj8m8wQ6vY72jg6USkVVTXkFkWw8kSASiazJradUKuns7BQuW8G2Ho3S1NTE3Nyc0CgLhULk89W+yIvfmuO0Qjy0XC5TWf53Op0mvvw7ExMT1HhqcDgcNDQ0YLfb0ev1NDU1MTMzQyAQWJPkWHbdZDIZJicnq/Mknaa2tpZoNMrS0hLF5XiH3++noaFB3CN4VcNKFj2Mx+OcOXOGdCZ90UIkn85kklhJkpibm6Ozs5OOjg7UKhWVZZHN1yJtlRfQQr7A2OgY2UyWr33taxSLRRHnK5fLFPJ5stks4+PjjIyMCGqzSqWCVJGqopwVSWTOWq1WVCoVZ8+evez1l5aWyOVyQuJE1hNLp9NCFSAUCqFQKpidm8NitVTdwsufK5eqKe2pdOrKFmwJtBotKqUKp9PJsWPHiEQi4vlUUNW0c3s8hENhFuYXOHPmTPV+K15N8PF4PCIN3maz0draKuLY4lLLbXR73MuGp6qlV6YsXPdyVu6lFIDlGHCpUkYCKlKFRDJJLpfDHwjg9/sFC75MbL1uuK4zhEIhrDYbL7/8Mps2bSIUCvHXf/3X/Mf/+B+pr6+vSiFc4rtqjYaPf/zjuFwuvvnNb+L3+8lkMtWTyPJnqsqqq6FYXoxZ+ZnllGK32017e/uqI/xaWXiyNMCzzz4r1EDr6+v56U9/yq9//Wu+/OUvi53dsWPHLmq7glczj8rlEqWSUuzgZSSTScqVMnq9nubm5lXum5UCdXJgHREMrn5mdHSUubk5XnjhBb7+9a/z6KOP8thjj12U7bSqZyuC6FDNYlOr1Tz44INkMhmCwSDPPffcmg+aTOCq1WpxuVzEYjFxKpSN3bUWWov2KrjoXqyMf8CrrliZGf1CleELIYs5yp8pFAqi3k1WBlYoFESj0VfHesW1C4UCB17cz+xcdUNRKV+86EuSRC6Xw2w2CyOt4FXpj/KyobiSLDQ5MUihUAg13r//+7/n9ttv5w//8A/5zne+s+q31ur/ysQBk8nEvffey5EjR5ifn8dut4tT34UbFLVazb333suePXv4yle+ws6dO/F6vWtn0K0UXFg2tj6fT6hQy++/Vo8VCgXhcJhAIMDTTz99kVGtSMv3YP/+ahxcepVcQE6ckeOU+/fvBwXcedddfOELX8Bms4n4qlKpJJVKEQqF2Ldvn+jf8ePHmZubY3Jqku9+97v09PSwbds2br75Zj677OZdq82KC/97PcNwFd5ww/Xnf/7nfP3rX1/1Xnd3N+fPnweqmU1//Md/zA9/+EPy+bxIrfV6vVd9LYfdQS6X48zp07S3tZPJZshls8zPzaNQKFhcWKC81qll2YVg0Ovx1njZs3s3dqsNpULJju3bCQVD1NXW4rA7qK+tqwbfS2UWFxZoa23FaXeQy2RpbGjEbrNh1Bt45tlnsFltWC1WPv6xjxMKhYhEIpw/fx6v10t9fT2dnZ2Mj49TW1vLrbfeisViIRwOk0wmRR2MUqkksLyzWqlPJEOr1WJ32GlqbAQJzp09K3SYmpqahNzDmTOnSSZTDJ8f5s477mCwfwDTv6qq/05NTREMBpmenqarq4uOjg48R2uo9frIZrN0dHSwadMmIcA5PT1NKpUSWYaNjY10dnZW3YkuN8ViEZfTRXNLC01NTXi9XoxGI83NzWzdulUkUOh0Ovr6+hgfH78oU69SqfDUU09htVq5+eabUavVOJ1OyuUyp0+fpr+/n5aWFmpra7FarTidTpqbm7FarZdMvc7lchSLRRwOB4ODg4QjEYxGIz6vF4fdgcVsoa21DbfbTblU4umnn2bnzp20tbXxO7/zO6RSKWZmZjh+/PhFC4zRaMThcOBwOKoKydEoQ0NDvPjii3i9Xm699VaRsapUKjl//jwDAwO0t7ejUqmETpvVauX9738/kWiEdCrNc889V910rDDuxWKRsbExBgYGcLvdbN+2Hb1Bj81q5ZePPopu2di73W42bNjAyMjIKlFUGXV1dfT29rJz506OHTvG1NSU0J1zuVxCusdkMolC7Y6ODjKZDKOjozQ1NVFfXy9Op16vl/b2djZu3CgSU8xmMz/4wQ/Eyf5CyAlRu3fvFgX027Zto7a2ltraWnw+XzVe7XbR0tSM1WLh1MlTzCxrm914w420trQSjcVoqK8nHA7jcrmIxqKrjL6cGCTHwU0mExaLhVTq1ZNaV1cXbW3tOBwOOru6mBgfJxSs8ijq9Do8NTW8733vI51MibpFnV6HQqGgWCxy7733cubMGRYWFmhrXb6O0YRapeLFfS/Q3NLMRx56iJ/85CcYjUYG+qvJLsFgcJXm3koYDAba29upr28gk8ngcrpoXD6ta9QaTttO4XA4qKmpoa2tjeHh4Te1dvPNgpzkda0lPG/Kiauvr4+nn3761YusoIX54he/yK9+9St+/OMfY7PZ+PznP88DDzzAgQMHrvo6cpB/anIKtaqqVVMpV5ha9tUHA0GhPHshpIpEJBzBbrNjt9kJh8Nks1lsVhuZdIZ8Ls/C/LzI7snn88xMz4hYg06nE+6USqVCKBjCv7REMBBYlQ6v1WpF6qus/ipJkthByrLysh6WQqFgfHycxcXFS6bLlktl0qk0lWU5kVAoJGIHDocDvV7P6MhotdjS72dpcQmXy0VjYyOlUolAIIAkSUxNTeF0OrHb7TjsduGCMBqNmEwmsstuwHPnzhEIBKhUKiL9Xq/XUy6XCYfDQrpbpVRSKBSqAnHLCQU2m024zTQaDf39/QQCgYsMlyRJnDhxgt7eXlpbW7FareTzeYLBIAsLC3R2dlIqlYT4nCxrIS+2a0F25QUCAXQ6HeZlVeRIOCLKGSrlMvnlGJxcnGq1WmlubhbZmmvtduWTtOxGlU+7586dI5fLsXnzZiwWi9C2WlpaoqWlRZzIossxmkAggMvlwmg0igzWtU6FwWCQ+fl5JEkS9ziXy3Hk8BEq5Qq5bE5kul7owpIhs2bI90921S0tLTE8PEylUhGZrJIksbi4iEKhEH3T6/UUi0UWFxfRaDRiAS2Xy9jtdmw2G0ajUWThXfTMSRLxeJxAIIDNZiOZTJLP54WMu+welp/PbDZLsVCN2wYCAebm5sRmIJfLkUwkSSaS1fTxC85e8sIokyzL6elKpVIYLpPJRLlUEr+r0WhXfL+qX+d0OolFosJVqlSpSCaTjI+PY7PZsFgsVdn65blYLpVQoODcuXPk83l6e3rR6/SYjNXNwNjYGPPz80KAcS0oFApSySS5bK4q3JnOCFe3Wq0mlUoRiUSEQvj1itd1ipTeYHzta1+TNm7cuObfYrGYpNFopB//+MfivaGhIQmQDh48eMXXiMfjEsvnJvmlVqsltVotAZJWq5U0Gs1Fn7nwpVKpJI1GI+n1evEdpVJ52e9otVpJp9Nd9jMWi0XSarWX/YxSqZTMZrOk1+vFe3q9XrJarZJarZYUCsVrtv/Cl16vl0wm05rf12g0ksViueh9o9EoWa1WSaFQSBqNRnxXoVBIer1ecjqdV9QWhUIhoWDVa+u2rdLvfvJfST0beqWOrk5pzw03SD/96U+lTZs2XfZ3VCqVZLPZXnMMr+SlUCgknU4nqVSqKx5TtVotORwOSaVSXfN1lUqlZLVaV93fy80Xk8l0Rb+rUqnE/HqtuXotY/V6fvdKxlepVF71M7fyZTAYJLPZLKlUKkmpVF7Tc3LRS3GVf1O8xnfWGFOtViup1eornhNXM6bX+ysej1+1nXlTzPXo6Ch1dXW0tbXx0Y9+lJmZGQBeeeUVisUit99+u/hsT08PTU1NHDx48HVdc6XQ2kr109f6TqlUEiwDV6JGWiwWX1MALrMi4+pSkEUEV/6WzG12tUq2K78vJ09c+P1SqSQKZVcil8uJOiV5Zyot77jz+fyatSZrQZKkVdPRYXfQ1tpG/4Y+QsEQyUSCRKJaQ3S5rDNpOZEilUpds0Dihb8nJ0Vc6ZjKIpCvJ+hdqVSENPxrIbOcbXmlbXutk+brwev53SsZXzmB5GqeuZWQa9QurM96XbjcT6z1N+kS76/10eWkJll49krnxMrvr+NivOGuwp07d/KP//iPdHd3s7i4yNe//nX27t3LmTNnWFpaqsZo7PZV3/F6vZclPL1QeXatOpGVN/hqbvbVTowr+fyVLngXfu71LkSX+75sEC73nQv7Jhuza4Fs+DKZDB63u5oIolS9puGS8UZmSl3LPX4j6LOudR680Z+/UrxVi+Truc71xo8Jq/v7m5gB+GbgDTdc99xzj/j34OAgO3fupLm5mR/96EeXTFt+LXzjG9+4KOFjHe9sxGIxUTNz++23EwqFWFxc5Oc///l1ufisYx3reOfgTU+Ht9vtdHV1MTY2xh133EGhUCAWi606dfn9fnw+3yV/48tf/jKPPPKI+O9EIkFjY+Ob2ex1vAGYn58nGAxy7Ngx4ZZdN1rrWMc6Xi/e9JSUVColUsC3bt2KRqPhmWeeEX8fHh5mZmaG3bt3X/I3dDqd4DGTX1eK35T6h3diP+W4WjQaFTVD1zve6HGWa5TebHHJdVwbXu89Wb+nbw7e8BPXl770Je6//36am5tZWFjga1/7GiqViocffhibzcanPvUpHnnkEUGq+YUvfIHdu3eza9euN7QdcrGnvMu/mp3+hUWlbzdWFnxe2A954ZPrwK7Gh77yoXqn9PWdCjmVWhYOXQtyUfeVQC59kHny5Jjg1QTu306sLFB+MyGPuTz3r3Z8X88JX1YKkAmYr/a7MkmuzHbyRuCdtjZdLd6o9r/hhmtubo6HH36YcDiMx+Phxhtv5NChQ3g8HgC+9a1voVQq+dCHPrSqAPmNhMViYevWrfzu7/4u3/rWt5iZmRH1P1eCG2+8kWAwKGpb3m64XC4sFgs2m42hoaFVC2d/fz+Dg4P09PTwL//yL5w8efKKflOpVApFXkmSfqOZpi8HWfrms5/9LLlcjpmZGR577LGLFjK73c6OHTs4cuQI8Xj8NR9MWdCxvr6eLVu2IEkSMzMz/PSnP71q1dy3GkqlkoGBASEXtBZP5Bt1nT179uDz+bBYLJw/f57R0VFCodBrfre9vZ2Ghgb2799/TVm6Mhn2H/3RH/H1r3+dU6dOXdH35Lq3hx56CI/Hw8TEBE8//fRliYevBHq9HrPZTFdXF0tLS4RCodf9m2815GL9hYUFksnkmnJBV4o33HD98Ic/vOzf9Xo93/nOdwS1zJuBQqFAPp+nVCqJQsTLtaetrW0V07Usnf1OgVKpRKVSrSrklpFIJAgEAsINeynIWk4ul4tEIkEymUStVl+yWPSNhEKhoLa2Fr1ez8TExJt6rTcacoZhLBYTsjWXKkjW6/VXXBDa29uLw+EQrBWyDts70bWk1+txOp1ks1lyuRz5fF5oZ72ZBbCSJDE/P09XVxf9/f0899xzZLNZ9Ho9LS0tzMzMXNL9rFar0el01zye6XSaRCJxVfdUbnOpVCKRSAiigtd7T+X+NjU1MT09TVtbG729vTz++OPviI31pSDr/8kEyrLW2BvhFr+uuQrlB6dQKIhjOVQNl1xdvvLGrowlyPRKVquVLVu2EIvFRALBStecbPhkN9DKa6z8jGxU5GOwXGdyIeTfUqlUggS2UqmsEhcsFouCQaFUKq3qGytuuDwpAoHARRNBXmDlPun1elwuFx0dHczMzJDL5VbxKMpjgwIhkCe3Va6nkkUAL+d+VSgUqNQq1Cq1qK3T6/W0trZidziYm5sTpxVZD0k2nHJfZa2tlckcGo1GuBnk9sjGXO7jWgZYxJDUKirlivjuynsgz4lSuST6vvLeqlQqwuHwZbNiV/LJyfdKfk9+X+6PWqOht7cXi8XCo48+isPhwOfzCa+E/F2tVivmUrlcrt6vFa4z+Y4Xi0UxFnIdlnz/5L7JzBFyXdtKMc6VYyePM1TLUBQKBWazmY6ODoLBIJFIhEgkclHf5H7LbBxyvdbKuVUul8VcXknwfClIksT09DRarZa2tjbm5udQUBVW3Lx5sxBBvbB04cK2yf25kDf0QhZ9eSMHVWXjSCQi1B3kuS+PrSRJqNXqVUTOK92/stG7sF3yPZXHR75HKpVq1b1bCZPJREtLCwMDAxw6dIg9e/bQ3t7Or3/967fUcMljAKy6vzJkJg/5Ga2rqxO0drIgrzxGsmDotbrGr2vDNTg4iMViYd++fbS1tVVFFBVVcldY7X9XqVR0dHTQ0NCA0WjkySefxOVysWHDBn73d38Xk8nEmTNnOH/+vJiYKpUKi8VCbW0tTqeTUChEbW0tlUqFAwcOCOJXr9fLwMCAkCQoFArMzMysWZtWU1OD2+2mqamJxcVF/H4/S0tLbNmyZRXDdnNzMwaDgcnJySotlEYNSkWVKFapQKPWsHPnTuob6vHV1qJQKQWJrE6nY9euXej1eubn5xkZGaGzs5N77rkHh8PByZMnMRgMYjFDAS1trTQ3NSEBs9MzglrI6/Xy8ssvCxXojRs3MjY2xsLCwpouG7vTQVNTE+2tbczMzDAzM0PfQD+33347Xq+XTDot5DNaWlqEsnK5XGZ4eJiGhgba2tpQKKq0OYuLi+j1ejZv3iwIXI8cOYJWq6W5uZnW1lbm5uYYGxtb0x1sMBhoammms7OTUDDI0ZePUi6X8fq81NbVkUgkqK+vx2KxMDIywvzsnHDVmSxmfD4fvb29bN+5g2g0uuaJUa/XVyU3KmUUKiVmixm3yy2Y63U6HZVKhbHxMUKhEH19fXR1d+F0OLnzzjuF63flJsJoNHLrrbdW5Vf8fkZGRvB6vVitVgymKiWXRq1BrVJx+PBhwUMo03MlEglB82UwGAgGg3R2dhKPxzl06BDbtm0TC8eRI0fEXOjo6KC5uRlJknj22WcxGAz09vbyqU99imPHjjE8PMy5c+eEErUsGqnX67Hb7QwODlIqlQgGg5w+fRq9Xk9dXR2tra2C77CmpoYXX3yReDz+mgtXpVKhUCyQK1THSD59/dZv/RZKtYpTp05x+uRqN57eaECpVlGqVI29fKI1Wy2Ylmm/pHKFo0ePihObQqGgpaWF9vZ27HY7r7zyyiojZbPZGBwcJBQKVVURMhkGBgbw+/3Mzs4Sj8erQp8OB5u2bGbjxo1o1GpGhkeAqlE0Go3s2bOHTCZDKBRiaGioKsxZ66OlpYWTx08IvTwZCoUCj7cGp9uFyWImm6uqRssbb3nz8VZA3uSr1Wr8fv8q96lWq2Xv3r2YzWYqlQqHDx/m3nvvpampidP/L3v/HR3ndd/546/pvRcMBhj0SoIAK1hEUo2yilUsN9mObK83lpI43qzjTbInv7Pe3e+eTfkmOed7NrvZtN1sThKvnTiJHdmWLVuyRFGFotjFit7LYDC9198fg3sFgCBFUVShPG+fMQVgZp773Ofe+7n3U97vN96Q66Xw/Hi9VUWG1dSAbwe3LtEV0NzczIEDB6Sej0qt4uDBg1gtljXv83q9bN26VSaEOJ1OBgcH0Wg0RCIRcrmcVAUulUrs27eP3t5eOTG3bt3K/fffLwlCm5ub2bNnT1VLqbWVRx99VEqY33vvvRsGhYXQ4rZt2/D7/Zw9e5be3l62b98ui7VdLhd79+7FaDRKF8Xi4iJWq5WWlla2bNkiXZsPPfQQ8/PzjI6OSkMAVXHDT3ziE1Kn57Of/SxWq5VMJiMlQ4SP3O/3V4lGW9sIBoN0dnWxadMmKpWK5KwT2mGNjY10dnZy/vx5Nm3axMMPP3zF8zCaTAQaG9m5cydjY2Pkcjl8Ph+Li4tEIhFi0Sijo6Pk83kaGhp47LHH6OrqktpCwrjNzs5SX19Pd3c3O3bs4KMf/ajk6zMajVgsFhpXriO0wurr6684dXZ0dLBp0yYcDgdWq5XGQEA+d7/fz+DgIDt27JCyK5/97GdpbGxErVZjs9nYt28fjY2NnD17lvn5+Wv65O0OB3fffTcOhwOLxUpLSwt33nknzc3NZLNZ9u/fT2/vJpxOJ9MzM8RicSKRCOfOnVvDmqFQKOjs7OSjH/0oExMTtLa28vDDD6NQVAUwu7q7OXToEFqtFovVwu23387+/fvx+XzEYjE+/elP09vbK3fHe/fu5a677sJgMEghxU9/+tMoFArq6uq46667qKuro6Ojg4GBAdlXXq+XPXv2oNVqSaVSRKNRpqammJubI5lM0tfXR1tbm1Ql2LdvH/v37+fixYuUSiUCgQAPPvggZrOZ5uZm7r33Xpqbm9FqtZRKJR599NHrLmmpVN7chEZjUcl1OT01vaE8iEKhoL29nQMHDkjNs66uLu655x70ej16vZ7bb7+d5uZm7HY7arWa/fv3Y7VaGR8fJx6PV0/Gq1zzgpuxvb0dp9NJKpVi06ZNNDc3Y7PZsNlsbN26la3btnH27Fmmp6cl76JKpSIQCHDo0CGpsH7o0CEaGxvp69tMd3c3Fy5cQG/Qrzl1V++9InlL9Xo9v/xLv4zL5WJsbOyqXoZ3A4ODg+zevZuFhQV6enrYsmULdXV1qNVqmpubue2226QMUCqVolgskkqlWF5eZnx8nOXlZbmW+v1+mfRyo7ilDZcI9gnXX6VSob29/YojupALF7tEo8lIe0eVpVtQsCwuLrK0tESxWKSpqUmq3pbLZerq6ujq6pLUQTqdju7ubmw2G263W0qqlMtlOjs7Jb3L+jY0NTVR7/ejNxiYnZ3FZDZJ1njhqrTabDQ2NkqZhEQigVqjxma1yqN3fX09mzdvXpFbWGBxYWGNq6e+vp58IY9KrWb7ju1StycajUpNq3g8jt5gwOPx4HK7SMQT6PV6SRwq3EqFQgGn01ll7q6vJ5FISOO9HmqNGofTWSXELZWoUEGj0RCNRkkmk6RSaRYXFyVbt1DWFa6wbdu24av3USgUMBgM2B12yUBus9mkm0KtqTLHd3Z1yX7eKPZkMpkwr9yLVquVC49KrcJsqqrVetxuiisCnAMDA9gddgwGA/X19ZJQeXp6mvAKCfNGnvlKpYJOp6WjowODwYBWq5VCoUajkXg8jtfrpa7Oi81uJxwOk0mnSaVSTE9PX3HqMJvNeL1e4vG4PM2LGJrdbqOlpaXqViqVZTt1Oh3hcJgt/f1SKqRUKtHY2Ehra6t0i9nsNvoH+slms6hUKhoDAZwuF/YVgyX6ymw2y77K5XKkUimWlpYk07/b45YbQavVSnt7u8wkTiQSmEwm9u3bJ0tZ2js60Ov1ZDIZ4vE423fsuKpy9bUgdLuy2Syh5RDRDU7ZlXIZp8NJa0urzNq02+20tLRURTLzBXz19XhWdv0mk4mOjg50Oh0LCwssrei9vSn1o5DxTafTidFoJJfL4fF6cDgcGE1G6uvraWxsxON2MzM9QygUkicnk8lEfX09fX19UiVBzOXGxkZaWlrI5XIyO3g90uk02WyWSqVCb28vNpttjYv7vYDD4cBms1WZcDwe/H4/TqcTk8lEXV0dra2tkqRayBBlMhlJkJxMJlEoFFJwFJCG/UZwSxuu1byBQmV3I8zMzHD48GEWFhbIZDMoVSrsDgdKlUrGHXK5HNlsVjK5Z1YJJIbDYSKRCJcuXeLYsWNcuHCBpqYmrFYrer1e+rqFX1wwza+G2WzmjjvuIBaPMTM7Q4UKx48fJ5PLcvudd1AsFXn16Kt8/wff5ytf/VUyuSwvv1JlzF8KhQiFq5lb3d3d+P1+qXYbj8WIhCMr3GkVlpZD/M8/+1NQKPA3+KtijiolZSrkCnnyxQKFUpF8Ic/s3CypTHrloxVeffkVhi5d5s6772Ln4C5QKHjmmWfYt28f3T092Ow29uzby9z8PIcPH76inzMr4nY9PT088rFHcLndXLx8iWw2u+IOLJLL5whHwgSXqgP8+eef58UjLzI8OkLv5k3sGhxk247thKMRZmZmGBsbY3h4mIcffpjHHntMLgganZau7i4efvhhvF4vQ0NDV5xyz5w5w7FjrxEMBuWGw+FyolQqSSQTzM/OMTw0zNDQEKMjIywuLqJSqWlsbOT+++9nORRiZmaGSrlMJBIhk0pvyFGXy+VIJpJEwxHKxRLZTIa5uTlmZ2eZnJxkZGSEEydOkM8Xqq7mlbimiBOspys7c+YMf/3Xf01TUxMOh0PGGiORCLOzc9V+GR3l0qWLnDpzmunZGSYmJxgaHpIq3jqdjsXFRZYjYYKhJS5cvMBrrx/j3PnzxBMJxibGuXDpIm+ce4N6fz3B4CJHXjrCQnCRbD6HSqPG7qxeu1QuUSyXyOZz5At5CsUCC4uLJFMpyfiv0Wgkv+OZM2cIBoPcddddKJSKFcXiMGfPnuXEiROcOXMGp8uJTq+7sjM3wOq1uVgsyg1kYYP4VnUcZqrcmCvqCpFIhNmV5zExPs6ly5c4fuI4doedtvZ2Nm3aJOOD8USc4yeOMzs3SzabobJybTG/V4+xVDpNrpBHq9Nx7733olQqq+oP5TKJWJx4LC7nbGdnJx6Ph4MHD6JWq3n11VdZXl7GbrfT19dXzbLO5lYUudfC5/OhVquZnZ3l//7f/4vdbuehhx7C4/FsaOjeDfz0pz/lJz/5CXV1dXK8OhwOent7JXlEKpVidHSU06dPS+Z/yUtZLJBKp5hfXKBYLhEMLXHu3Lkbbs8tHeMSgdA3dx0bC64FAgG2bduGwWCgUCgyNjZGT09Pdfe8spsSuNrRe6Oap2g0SnFFFmHPnj1UKhVeeOEFQqHQFcdgcXoxm81YzObqd64kPoj0aYPBgNlsZmlpiXqfj56eHi5durRml69UKjEYjbjd7rWClavE9n7xF3+RH/zgB2vcHiLhodpLa+9J/Ds0NIRWq+XBhx+S8StBwJtKpVgOL/PySy9RKpU31DmzWq0MDQ3xX//rf+XAgQP09vbidrt58cUXq9cQfbhCUvpmYkb19zqdjrm5OV46coRSuUwuk5WB3Gg0SlNTE08++SR/9hd/zuTkJL/zO7/Dgdv209PTg8Ph4Hvf+96ak+7WrVvx1nnR6fXMz8+TTqdpaGhY6YNVdUirHrkQ6VSpVDicTqzrUr2vtsNdn6hwozthlUrFrl27OHDgAN/61reYm5vDbrevScgQ46/C6j6sYn1wf3Ur1rx35b9FUkFnVxdd3d0YDAa56HR0dKyxGqvvsfrfb45rIU4pIDLrrpY88PZqea6c19W+eFMg9Fqkt6sTWVbfO4BKVT3JNjY2Miril5WKVO9eXa8m3Ier55L4frVajdVqXZPluLq/xOb41VdflacPjUbDD3/4NK8dO8bevXvZu28ffr9/DUGDUqlkx44dqNVqRkdHOX/+PA0NDcRiMerr60kmk1etK7yZeOCBB3A6nRw/fpz5+XmZxCY8GY2NjVck6oj4282YF+txSxsuceLq6uoCwOV0riz+Fsxmk9SD0mg01NXV4XQ6WVzxwTrsDgxGA/lcnmw2i8fjIRaLkUqlMBgMmEwm7HY7KpUKk8mETqeTtRQWSzXIK7KQdDodTU1NxONxqbu1PmuqUCgwPT2Ny+3G7XZXhfocDorFIpMTk7hdbup8PpwOJ6Ojo9TV1TEwMMDC/EJV68hqw2QykctmKRVLGI1G6ZYUOkgGgwGbzUZfXx9Hjx6Vu0iXy1W9z0wWp9OJw+HEZrVht9uxWCwyKzKRSFRrQyoV8rk8+XyeQqHA4uIiDqdTtjub2fh0qzcYUCiqyrq5XA61Wo3FbJbZU0ajEa/XSz6fx2wxo9PpMJlMMu4RiURQq9RyQkZW9NUsFgvRaBSLxVINtJvNJFZS+oWLxWKxXDEp7HY79b56rHYbY2NjcpIZjEaMK8KCVqu1mi2oAIPegMViIZVKsbCwQL3fTyGfZ352DrvNjslkkpuA1bVBGo1Gxk6sViuVSgW7vfp+oXtlNpvRaLXyeYmkDfEZq9WK2WxGq9Xi9XrZvHkzFotFZl56vV6cTic2u12+T6/TYTFbsFmtb45RnR6zyYTVaq26xY1G9Dpd1V1usVbfa6y+16DXYzGbsVqsKJUKNFotToez6hGoVHA6nBj0ekBBKpmkzuslk86QzWSxmM0ogFw2J/XWTCYTXq8XrVaLVqfl8tAQSoVyTd8Ui0WMJhN6nU66g1uaW5iYmJCJOqvhdDplqYDdbqeQL8jTs9PlxBa0XaFbJ/pVzAehFSbGmkKhlG0p5PMsx5cxm80EAo309vaSSqXIZLPSo2IymdBoNCSTSXp7e8lmszLJS4yhhcUFPG4Pzc3NtLW1yYQQnU7H5OQkuVwOjUaDy+VCo9HILNHCips6n8tjWLnWFaiAWqVCr6vGvTOZjExsea+yCoXI58TEhMwe9Xq9VZX5lfHe29tLMpkkm82ytLQkMzIbGxtZXl7GbKpu2u02Owb9jfHWCtzShkvEa5544gkmJyerBsrjpbWlBbPZTENDAz09PXLnt2XLFpyzs8RiMbb09fHySy+xsLBAMBhkcHCQ+vp6zp8/j9vtJhAI0NvbSywWw+/3Y7fb8Xg8tLS00NHRgd/vl37eLVu2kM/npS96YmKC6enpNYWZ8Xicn/70pzz55JO4nE5CSyE2b9rM5OQkz770MoODg9WUcbudf/qnf+LLX/4yd95xJ1OTU3R3d9PY2EigoZHFhUXMpurC9aUvfYn5+Xni8bhMp86v7H537twJrOzYtm1ncnKSxYUFfuFzn6NcrLpZent6aG1tJZ/LY7FYpOE698Y5pqemiEWjlMtlXnrpJT7+iY9z/wMP0NrayuL8AhMTE/zjP/7jmudhMhppa29n8+bNRJar7tWllUJJnU5Hvc/Hvr37CIVCtLS0yJ1aLBZjcXGRk8dP0NPTw/7f/v8xMjLCiy++yMLCAocOHeL8+fNUKhXOnTtHuVSmtaVVxvmi0ShLS0tXTOJSqYTBYGDbtm0y4WLz5s34/X4Z+xEJMNFoFO9Ksk0qleK5557jP//n/8yWvj6aAk1VQ6HXU6lUMBqNMgUfkLFOt9tNV1cXqVSKhoYGAoEAExMTWK1WWltbKZVKuJxO5ufm8Pl8MruqqnjbsGYDYrFUEy9EnO22226rbnZWMgXtDgdWi4XWlhbUKtWKeyyBZ2Xsik2Nv96PwWDA6XDS2dFRzaxtaMDpcOKr89HW2oZSoSQUCpHP59k6MCA3G1v6+vB6qrG26alp9u7Zi9fjRQG0NFfjMkaDkR/+8Ids2bKFjo4O9u/fj8lsJpvL8u2//zZarRaP24PX7ZEZezqdDrfLjdfjpW9zH1//+tf5oz/6I86fP7/GCKlUKrZt20Z7Wxsel5tNvZu4dOkSuVwOp9PJ1oGtUIGjR4/KzygUClwuFx6Ph7q6Onp7e/F6vfh8PgINjTjsDkrlkjQu8ViM8+fPo9FoOLD/AIO7Brl8+TIjY6NoNBo8Hg+BpgCRSISJiQm+9KUvyRN+Q0ODLKn46TM/4Ytf/CI7d+7EYrFUjbdWi8Fg4Kc//SlGoxGn08kTTzxBIpEgHA7zwgsv0N7ejsfjIRwOS9HU1ahUKpw5fZpdu3axc8cOIuEwHo+HcrnM5cuXb4r0z/WgWCxiMpm48847ZS1Wc3MzL774Il6vF7vdzle+8hWpsP4v//IvRCIRHA4H9957L+l0GofDQUtzCwa9gfDyMtdX0r0xFJVbkDskHo9js9kwm83yJfzrZrOZ5eVlFAoFVquVZDIp6zBcLpfUwLLb7QSDQfnfUD0VJZNJPB4PhUJBamOJndPi4uKaAVkoFGhsbOTuu+/myJEjVCoVrFYrBw4c4Nlnn+XIkSNr2q1UKnE4HDLJQPh/M5kMBoNB1tAkEgmZ7SSUTkWGYygUqmaUraRai4JQk8lENFZ1XXrr6qSrUqfTEY/Fya/4m/1+P8lkkmQyid6gR6PVQrkik0tEAFqk9ReLxerJyWrBspKun06lyKQzV1Tua3Va9CvuznKxJOOGmWwG90rmYDQckd/pdDrlzqxYLGJfOU0YDAbZxkKhIE8egNQ0EqeYUmnVddadAg0GA0ajEbvTQSwarZ6ezWbmZmfRarQYjUapklwul/F6vfIUVygU8Hq9V9TqCNXn9fWBOp0Ot9tNLBaTLiW9Xk96JQnD6XTKz6fTaen+W1pawmw2SxdUOByWp/1MJiPHhCiAVqlUaHVawuEwSqUKm9VKoVCQ0j8+n0/qe4k0bmGcxYlDo9HILC+z2bwmmcjtdsu5ZLPZpFtIr9djsVjI5XJyfAo3YSQSkacTpVJJoVSsxqJyOYqFIkajEavVSjgcplQqySC9cLXX1dWxuLh4RQwJkKcavV4vx4pKpZIbnkwmc0URsnDbrVaVFp6RcDgMgM1uo1QqVfXokim8Xq+MV0cikWrsXFHtj+XlZXLZ6umhqalJaq3pjQbyK2MvlUxVEzVWNjUihlmpVOQcFqc+EUtPp9PypCxi1uslnAB5cjaseDRKpRKFQoFoNPqeZRXa7Xb0er2klhPu0fn5eQwGg/RciPtKJBLypL16TTavbIoymYwsO4nFYm+LfxZuccMF1R2WwWCQAdtr8ZOJASIWltWB8dUL4/VCVLMPDAzw1FNPyRjTgQMHOHz48Jqd4GqIhU4sLjcKUR8kdv6VSgUUVdlxhVLEkyprimqFm+JqfSTiOxvqUSkU6PW6FYnyjftJqVopxq6sFfdUqqo+79Vt2QjrC2kFRKaoMMiri75XX+eKJisVawodVSo1xWLhuoQAVxcg31Thwuu87ur4ynuh4yRqAPP5vCywXT1HRKbpVft65fOF4kohbfmt+0qMt7dLyyQKz+Hm8SUKA3etNO3VBcQoWHOfq4trheFaP88MBkPVRblyUlrNPrK+IHo9RGbpRkXX7wWEizCfz8sxuroder3+ioxq0R/XSt2/EcN1S7sKoTpoV++4rvXgV+9k1h+xb2RhaGhokL7udDotB/WFCxeuyacmdt3vFBsGZStQLpXgKrfzVq4FwaRwlT+SzVy79qJcKpMvXVlUWi5dny/+akZo/WJSLpevq+q+Uq6Qy77ZT8Xy9btWVrNWvJd4rwzVRtdd3c/rx8pbLZbrP3+917yRRfjdWLiLxeJbfu+1xpxIOLnWe9Z7Bd7OfZTL5fdVYUEkmMCbySqrsdGzX810czNxy5+43k/odDoaGhrYs2cPBoOBcDjM1NSUJMKtqZ3WUEMNNVwbP5cnLnj/qP7z+TyhUEhSKAntqRtxAX5Q5QpWu6s+aHg7MiI/j3i/+ueDNGbe7zHybl5/dTnMz9s8uKUNl6g01+v1MpD/XqJSqRCPxyU34o1A6IYZDAbJvv1uQ/jilUrlVWMLIl5hMBgkhcsHZXLodDrJ8HCtAPXqGNVbxQ9uFlYTib4fcQjRBpFFKUoT3k2IcgaoskQIl9t6l9l72TciXiXG73utc2YwGGTcXCT/3CyIMa3T6WR88J1IhFwPVsdd369xvRq3tOHq7e2lv7+frVu38jd/8zfvqBL7/UJzczM7duxgx44dPPPMMzz//PPv+jUtFks1tdrpZHJyUmZarYbVauXgwYN85jOf4fd+7/eYmZl5RxQtNxOHDh2ira0Nv9/P7/3e711Vl8hut+NwOCTRZzwef9c3N263W9b2nDt37j3fTEG15qarq4vf+I3f4Hd/93d5+eWX37VrGQwG7rzzTi5evIhWq+VrX/saP/7xj7l8+TKXLl2S71MoFPh8Pllfdu7cuXd1I9HV1UV/fz87duzg29/+NidOnHjXrrUeSqWSxx57DJ/Px/j4OD/+8Y+vqDV7J/D7/dTX19Pe3o7L5WJpaYl/+Id/uGnfvxEEvZfD4eDSpUvvONYm6uzejk7iatzSlE/hcJiZmZk1Ugy3GuLxOJOTkyhVyisq8m8WjCsEq52dnZJp5ErWkbUQPGMfFGO1GhMTEwSDwavS3SiVSux2O21tbXR2ddEQaOThRx5m32373vW2rZbBeb8QiUaYnZulWHpvSFhFLVMmk6nyfZZKb2a1roJCqUSpqr5uNgQJ8cDAgExpn56eRqVWvyvXuxYqlQpLS0uEQqF3ZRwIo3zs2DGef/55Xn/99Zt+jfW4GePaaDTS0tKC2+1Go9G8I8HUW/rEJdiHr0UjIrRuRIoqvJmRptFoJPFuOp2W7g69Xi91gxKJhKQtMRqN8vMiO0jIeysUCllPI2pyxIRefU3hGhTsyIVCoVo8W6mg0WkxmowoUMjapmtB0OyIzEpxnNfr9fKzGo1GFsd6PB4WFhauauhX14uJCvhEIrHGzSHeo1AopKS5oH7RarWyNu1aKdMGg0GyBojUWpEWvJoqZn3ar+hrUetyLfol4ULW63QolUp6N22iXKlw+IUrORZXf7dI29VoNGSyGZkWrtfpZRqzSM0XWV7CLSSkQdbrcQnWEJGhWCqVpHaR6C/RBnFtjUYjNdNEGrLgfLyW20nUUhVLpSrR8SrDJcQf1Wo1qVRK6ssJnbFSqSTHtXAVa7VaOd7FsxGuSFGPJ/pCCG4C6PR6bHYb2cybbVaqqnpigkZK9EG5Uq0fpIJkaxHtXj0XV+vArT/Jmkwm/H4//f39krg4FApRoYJWp5PzSoxZgdWCk6J+bz1k/dwql2ilUpFzXawhYryWSiVisRhGo3ENw7wYB6IuUJQdbARR5Cv6Wbx0Oh2BQIC2tja+853vyFrTdxvrjdbq/hB9IPrvajqENpttjYLzOzm13dKGSyQ0XAs2m22FmbtOLsK5XI6LFy/S2NiIz+fD7/fz8ssvs7y8TLFYlBIoBoOBp556Si5We/bskSJxokZLMGdoNBqmpqa4dOkSNpuN+vp6XC6XLOZMp9MMDw/jcrloaGhgYGCAc+fOEYvFKBQKKBQKGhsb2TU4iFpZ1eTaSM9LQKVSsWPHDlk7cfjwYTQaDVarlYGBAebm5mSh5ubNm2UB4fLyMul0esN+a25uxu/309bWxgsvvIDJZFrzPqVSic/no729HaPRyMmTJ1leXkan09He3k5rayuhUIjz588TiUSuuIZYDHft2oXJZGJmZoahoSFJySWKGEV92uXLl6VshSjeHhgYkGwDV0OpVJJM1VqtFpfHjdVqlaSr66HRaLBYLGzbto35+XkqlQqBQIBXj75KaaUweWBLP0tLS0xPT9PX14dSqSSVSvHiiy9WGVmcTmKxmOShW/3dZrOZ/fv3E4lE5Eswyc/PzzM0NCRpc8rlNxnfhfvNbDbT1tbGmTNnmJubu6prVKlUVklP6+tpDDRWjdiq00ZLSwterxev18sLL7wgC5wPHDggteReffVVyZvZ09NDZ2cniUSC119/HZPJJIu6vV4vS0tLsuBaGLRKpYLL5cRqs9LX18fJ4yckUbXBYJC1YEqlkkAgUI3DJRN0dnZSLpeZGBtnfHycfD6PUqlk06ZNuN1uTCaT5JtMJBKMj4+vuff+/n4GBwc5cOAA4XCY6elpstkq12VbW1t1cVWqOHXqlHSNC/dlT08PKpWKkZERRkdHr+hXi8WC0+mkpaWFRCIhjdPFixdxu900NjZSX1/P5OQk8/PzLC0trRnz8KYe14EDByTT/oULF646hj0eD16vF7/fz/z8vPze7u5uurq66O7u5o477uDo0aMEg8Grfs/NgtgIwlqPRiwWkywlly5dYn5+fkP3n8lkoqenh89//vOcOHGCCxcuUC6Xr7nGXQu3tOHq6OioksBeg7dRrVHTPzDAA/ffzw9/+EO5cO/bt08WlAaDQe68807y+TzT09M4HA5KpRLBYBCr1UpHRwf19fWcPHmSLVu20NbWRrlcJhAIkMlkGB4e5pOf/GSVQiYep1KpsHfvXnbtHuRHP/oR4eVlNBoNPT090hi8+uqr2Gw2WRTtdDqBaiD3I4fuwWQyMTIysuHg7ujoYNeuXZw6dYqtW7fS0dHB2NgY8UQCu9PBJz/9KU6eOMHycphCIc/CwgLxeByDwcDk1BQer4fW5lYaGxuJJ+Jkc1l2D+4mGAyytLRENpuVp0IBi8WCxWZl+44dTE1OEolE+OpXv8rf//3fUygUOHjwIEeOHCGXy9Hc3Ew8Hr/ixGi323nsscc4deoUKpWKJ598kt/5nd+RGlQ7duxgbGyMsbExHnroIXQ6nWTov+eeezAYDBw7doxsNktHR8c1ZTEqlQp1dXW0tLZy3/33sbCwsGEsD6qLi8Vi4ZOf/CRnzp6tMqoU8ni8XskJ+caZs2zatIl7772XFw4fpq29DYPewIsvvojdbsdoNHL69Gm6u7urUjEuFyMjIzQ3N7NlyxYOHz7Mnj17GBwc5Fvf+hbd3d1YLBYmJycJBALU1dXR39/Pt771LVRqFfUNfk6fPk1XVxeNjY08f/iFqtzKivjlerSvUG2Nj48zMjJCcCnII488AlSVCfr7++Vpb2lpiQceeEAWo584caLK4bhy8tq8eTMOh4PFxUWGh4cpl8tYrdaqQGh7O11dXZw5c0YmBDz00ENEYzGmZ6ZBAaVyWSqQP/75x7l0+TLPPPMMzU3NeDxu1Go158+fp6e3l46OdiLRKNPT09jtdn7pl36J3//936dYLMoN3tTUFBMTEzz55JN897vfZXZ29or7F4t7JBLh4qWLpDMZ7DYbbpebUqFIsVBk/537UWs1jI+NM3T5Mvfffz+ZbJaR0VEOHDiARlvd+J0+fXrNpkulVhNobuIXv/xlfvqTn7CwsEA0GpVagMVikeMnT3DH7Xdw51138bd/8zdSCRqqRqutrY3de/Zw+MXDbOnrY8+ePdLwr06e0el11NX5GNw9SDQa5fiJ4zz80MOEQiHGxsaYnZ0lHA4Ti8U4efLkTY2dXQt1dXUEAgF8Pp9cIw8ePEg4HCYUChEKhfjSl77E97//fckitBrCe7O0tMTQ0BBTU1M/v7Ima2IcVzFegrm6oaGBVCol5b63bNmCx+ORi7PRaMRsNmM0GmlqapKLokqloqGhgU2bNklXi8gCFDvMcrkskx1sNhvFYhGL1Ur9in6VOOlt3rxZyj8IjsHVBX2CPFOhqMqT19XVXfXexXUNBgMul0tSRCmVSurr61GqVKQzaULLy8TjcUmhlEgmqkqkahVOl1MGSYX4YDgcZm5uTgpRCtgddpqbmyU1jlKlXEPk2tbWJnW83iqDSrjKOjs70a248gQFlEKhIBqNotPpJAeg3W6nsbERt9tNOByWCr9vhUqlQmXlhG00GjGZqsS+6yFODPX19ajVajLZDMvLy3i93qrG0oo2m1arxWQysRyunjLrfHXSJVypVCTLv16vx+VySR2z1tbWNRmwIpNTpVLJexS8mhqthspKm3L5HHa7XaphKxQKypUr+1ZQKG3ZskWq6wopl0qlOrbFqVDMGZPJhM1mw+Vy4ff7pQtLnPwFafTi4qLkMRTKzE6nUy6e+Xwer9eLwVhtX4Wqu0+McYvVKnfk6hUdNIfDAYDeoMe8QucUi8XIZXNSw0xokon5FIlEaGpqqrpwNyB4TiaTpNNpcrncmyUp1UFQnffxuIyDuT1uVCoVvb29NDc3odaoUalVaLW6K7T8AOkSDTQFyOVyxONxKSTpcrlkn2u1Vc9BfX29HGeCBs5X76O9o33N+qFWq69wd+sNBlpaWyRZswiFeDweuVEXNG9LS0vvWbak8Ja4XC7pwhQeknw+z/LyMg0NDdjtdklpt74P8/k8mUyGaDQqqdVuFLe04RJH5Gu5CyPhCOHwMsvLy7zwwgu8/vrrTE1Ncfvtt9PR0YHH48Hj8TAyMsK5c+dYWFjg9ttvZ9euXXi9XskcLzKUNBqNdBn98Ic/5NixY7jdbknzLzjZIpEqaebzP/sZJ09UXWoPP/ww4XCY4eFh4vE4ly5dYm5uTvKZLczPMzkxweuvv06pVJKnsPUYHR3ln/7pnySZZz6fx2azoaCqiRWLxXj99dc5fPgwr77yColE1VhVqZqKJOJx6c5QrvD39ff3k89XT2fT09NV8cRVJ5Tm5hb27t1bFRjs6KC5uYVnn32W+fl5lEolra2t3HXXXTQ3NzM8PLyh3z0ajfK3f/u3lEolqeGjVCrJ5XJSmXl2dpbx8XHOnj0rT7W9vb2SGzKbzUoW/+sZH8eOHeMP/uAPaGpqYtu2rbhcrivie4I7TexiRb91d3fT19eHyWRi69atlEolfvazn3H+3DmKhQJutxuj0Sh3kyI5IRqNylNkc3MzbrebvXv3ks/nOXXqFNlslvPnzzM6OsrAwAB+v79KAhsI4HA6KRaLTE9Pk0qmsFqtdHZ2cv/991Mul5memrriPoWic39/f/XUEQ6TXeG9K5erXJtCjdnr9eLxeLhw4QLnzp1jbm6OL3/5y/T09BCLxVCr1bS2ttLS0sLi4iKzs7PMzMwwPT0tn8/w8DDPP/88Z8+eZWZmRrq7BeLxOAsLC4yPjfH6668Ti8Xo6elhObRcPaVVqmKP8VhMqniPjY4yNTXJ8vKyFDQVno9MJiMNk/h3PcT4FvEvoXkWCoWYm5tjbHyc119/HZVKhcvpQqfT0dXVxUD/AAMDAyQSCRYWFq4guQWIx2KEl5eJxWK88sorvPrqq1y+fJnBwUHMZjPDw8MU8nlm5+aYm59j+/btWFapsAs3utPpZPfu3ahUak6cOEE2m71ik2ezWtm7d6/coJXLZU6dOgXA7t27ZSzxrWJkNxuRSESyAQmGlGAwyPj4OGNjY4yPj1djipUK5hXZptUQbDBSn+sdlqfc0q7CUHiZet+Vku3rsSL/JE9lIng/NT3NqVMnCS2FKJaqgU+7w8Hv/O7vMDAwwIHbDxKORPA3NlBRwHM/e05yIubyeT73uc+hUCg4+uqrTM/OkIjH5TXWFxOrVCrMZjM+n4/l5aohXV3XshqlcokylaueIrdu3co9H/kIP/rxj1gILqIz6Ne4S5UooFypvlbkpipVoSnRAdWvroBaqcKoN9DS1orJYkapUlEulapaRKv48gDpkz59+jTT09NAVQpkfn6e3/iN3+DQPYdo62jH5XHz7W99aw09lIiPfe3rv84//P3fMzwyTHSFfR6FAhRrn9Pq+1GpVLhcLnlakM/yOqV9ysUSyXiCZCIplWQ3gkgKEf1GperiCIVCvPDCC/KzpVKJy0ND6A0GvvrVr/LSSy8xPDwsvwOFYqW/q88ynU7z7LPPShmKdDrN+QsXKBSLPPzIIzzz4x8zOzvLiy++yGOPPcbZs2d56aWXsNlsPPPMMxw9epR7772XgwcO0NbaxlP/8i9XtNtgMOB2u9HpdGRz2TfbQjWbT6PTMjo+xtDlIcLhZUqlMhaLGafLxez8HPv37+eJX3qS//Sf/hP+hgZcbhcqjVrqrimUSlC+eV+r55JCoUBRWftIxLUdNjupdJrZ6ZmVMa0QomfVcXiVuTs/P8/y8jJf+cpX2DW4C7fXw//4kz/h4qoU+42e36oGrNUOY1WRrqL6O71ez+TUJM899xzlUolioXhVTj1xCl79l0KhUJVXcTqJJ+Jy/EQiEZn4JVAulclmsxx+4QWSiaRMqFpvuEQSlyARF+0XCuYiUexm6Vq9HVzvNa9qkBSAsipsu1HW6dvBLW24nE4nHq8Hi8WC0WRCq9ORX338VIB9RXLaYDRgs9spFavMypcuXcLjcTOwdStTU1MsLS2hVqvxeDxVXaCVeEAunyMcDhMOh9m2fTvxeJxEPM7k1BROp7OqxdXcXM1MstkINDUxMTmJ1WbDaKheMxGPk81muXTpkpREmJiYIBwOy4FvtVoxGI3oDQZc7qosejKR2LDyXm8w4K3z0tTUJI/mTU1NLAWDKBXVzCWRQZjJZEimktT56mhobJDxF7fHg30lxibcOps2bcJsMlXvNxKpBtmt1hUNrRwzMzO0t7dXmbF1OpKpFJVSWWZLFQqF6qJdWSvOKKDRamlubqahsZFyqZod5vf7yWQzeLxebHYbJpMRvV6P0+kku+KOHRsbo1wu43Q6GRwcpKIAj9eL2WLBZDaRyWTW7PjV6qqml2BGz2QyzM/Ps7CwsGGBt3ABGo1GPCt9n06nmZmdoUnVRFtbGzNd08Tj8equP5Vkbm4Oi8XCvfd8RC4qUFWFdbtc1aSDRIJ8vuqq3rRpk2TOHhoaIp1OkUwlUSgVLC8vE4lEiMVi3HPvR6raaPE4Df4GmQyRXdFhq2zghi2Xy0SjUWZnZ9m7dy/zCwuo1Cq5EUsmk1y6dImmpib0ej1zs7MsBoPYbDbq6uqIRqPS5VQoFFgOL2O2mLnrrrsIhULEYzGWw2HcK31jtdkwGI0oFUpMJhMmk0kmp+RzVddhpVIhsRLnjEYiLCws0N7ZgdNV/bxwVTqdThKJxErihxGTyYTL5ZIeDKfTSYUK+UKByclJdLpqVuv67D+xgzcZTTQGAlTKZVlTZzAYpGF3OBwU8gUZO1Wp1OzYsYNYNEpoKSTdoqthtVlx2O0r+l5WQivusfPnz1Mqlejp7SGTzUi9tpmZGTnPVSoVY2Nj2Ow2DCvq4IlEgmymuh6sn9siZt7S0kK9z4fP56POV0cmk2FoaEiuFUJBQCSLvNtY7bY3rWjZORwOXC4XwWCQ5eVl2San07lhgoYQzW1ubpZZmdFI9Ibac0sbrvb2dnw+H3a7XT7M/Dq/aUNDdbE2Go3U1dWRy2ZJp9L89Kc/5WOPPsrdhw4xdHmIY68fkzo/QmZEuEiES+5LX/pS1QUyPs5TTz1FuVzGZDKxa9cumb7q8/mYmZ7G5XJhNJnw+XwU8wXi8Tg/+tGP+PznP4/JZOL8+fOcOnVK+sAdDgdWqxWLxSIl28NanWRKX72LKa34i7dt2yZTdV0uF4vzC1Iqobm5WcarQqEQnZ2d9PT00NzSgsvlormpSbq6crkcR48eZf/+/SgPHuTixYucOnUKv79BZlNdHhpiemaGz372szQ1NbGwsMDU1BSXL11Co9awfft2wtEI4cVFlpaWrpqiq1ar6enpoVSsbgx6enrI5fPY7NV4i9Vmw2Q2U+/zVVPlUTAyMkIikcDv9/PpT3+a4ZERPF5PdZI4nKRT6TVBap1Ox8DAgIyhLSwscOnSJWZmZjZ0MwnBQZPJVN0ALC0xMzPD2bNnsVgsfOITn8DlcBIMBpmdm2VicoKpqSkKhQL33vMRGT+EavFvQ2ODnNANfj82m43HHnuMeDzO3Nwck5OTZLJVOY5gMMjo2BgL8/PodDoG9+wmm82Sz+dl7LGhoUEGwTfKwioUCkxNTXHs2DEee+wxLg8PyYzKuro6wuEwP/nJT3j88ccxmUyMjY3x8ssvY7fbaWpq4vjx40SjUS5fvkwsFuPChQvotFqeeOIJzp07x8jwCMdPHCcQCOD3+3G7q1maeZ1OLmR+v1/W/rW0tlDnrZPxyunpaSYnJzl4x+3U19fLBc7j8eDz+SiVStgdDizWauG2IK5WqVQrhguyuRw2m41YJEoifmV9oTi9mM1m+vr6yOfz8jpms1kmlzgcDvIr5Rrnzp2ju6eHL3/5y4yNjXH89eOcPHFCqn4LeL11+OrrV7Ip61gOLbOwsMBPfvITtm3bxp7de0imUthsNgr5PJcuXWL79u00NjaiVCr5wQ9+gNFkwmQ28/FPfIJUMslScImJiYk1ZThQ5e176aWX6O/vX5ExWqattY3Lly9z9uxZAoEALpcLs9mM3+9ncnLyXWfNqPaBV17bsXIY8Pl8FAoFmZxhtVrx+Xw0NDRsmJ2ZzmSYnZ2lv78fs9lMOp2+YcN1S5PsarValCoVep2OdDp9pd9UAWpVlRpInCxEYFzsskUgMZFIUCqXUCqUVT2pSoXiiiaXCKzbbDZyuRz5fL566lhRt9VqtdXUW6UStUpFPBFHt2J0ksmkHJhqtRqz2Szru8QEEbVX2VyOfC63KhBfIb1BLEej0aA3GNDrddK9odVqSaVTlIpVTTJR81MoFKo1SoaqLk4kHJHFx0LCoVQqodVpMZvMKBQK0um0DMaLGJpwoYiEDPEcisWidIOK+EI2l6WQv7IeRqVS4XA6pCSKSqV6k9dx5Vnl81XlZVEzJ2IcRqNRUlCJiapSqdY8U/nYV1zBVqtV1uKJuMBGBlX0h9CbEoHk1QkZok5HiIWK5+lwOGSSArxJR6VSqUilUlKXy2KxkMlk5EvUh9lsVQVf0S6Hw0Eul5OfFeUBQjuqUChsuMMWFFhCxyuXr2q0pZIpWW4hkmegukCiAI1aI0sqxP2J+SLUoMUz0Wg1qFXVe0smk3Lsru43pVIpCVPTmQyllfqjQqGAYcUYKajWYOr0etQr9W+iv8Xp0mq10tDQQG9vL7OzsywtLbF3716KxSKhUIgf/vCHV/SBEOAUGnxQrQPLZDJSU0yhrOpZZdIZmZhkNBpJpVPksjmp2rt+3IokJKHSLKSRxPxXa9QU8tU4m9j4CkKBTCaDSqWqqrNbLNXN8yrNtI3Go9ForLobNWqymTefu3Bxrl5b3oslXNRvqtVqWTMqylZE26wr2nCiFm89Vs8nMdZEzdvPnR7XO8HqgsrVvu3VOlfrCzjX6+yIE49YTAT/39UgYwIrgnDvBBqNRhYzCmN4rfjNVXW2ViAWtbdyPYgCZLFYiwJiQLbnalivM/V2iIWFQRIblLf6nIiJvdPMK4VCIVPH19/bW/W7wEZaReLzq38nMhTF+BLFt8A1NY0ERFGokIZfvQivLvBevbCIwuvVz108U7Ewvp1lQoyPdyIJI0o+kskk4+PjLC0tcf/99xOJRFhcXNxQ607M5bejm7a6mPpG+QTFuBSbo2tBbEKux70nDGYul/tAEBbfLKwf4z+37PA3CtFx6wfb1dI0N1oA14vFvdXAvZkM8KsXn+u57ltNluv1la/fTb0dzZ13QjYq/OLXi5uVKnwtjaXrXZivRp68/vMb/fx2Fv/V7dwo8L9R/99sHaWbwc9otVppa2vj9OnTa7LoRGbjRrgRHbPr1XW7Ft7OuHw74/f90IJ7L3Az7unn+sRVQw01fDCh1+ux2+3cf//9snbr5ZdfJhgMXhGDquHWRu3EVUMNNXwokM/niUQivPTSS9KdGgwGr1nOUMPPD2qGq4YaavjAQXCKivq4GmpYjVuaOePdggjy3qpSKTXcHIjswLeL1ckq7yfe73G8OhmkhhpuJt7/2fUBgkih/sIXvsDU1BQvvfQSi4uLslrdbDbT3d2Ny+WStCeCKmh8fBytVivZ4ovFogx6z8/PEw6HWV5eXnM9h8OBXq9Hq9UyPT0tueKsVitdXV3yOrlcjkwmQzgcZmJi4rqD3yaTiUAgICUE3qn4241ApVLR0dFBIpEgmUxeF8fg+wnBGP7AAw8wNzfH1NTU21K43rZtGw0NDTQ0NPB3f/d3N6w5pFKp2L59OzMzMywsLLwt95hOp8PtdvOLv/iLPPvsswwNDUm6nvcCYvw++OCDfOtb32JhoVpfuGXLFkmGux5NTU2oVCqi0ahknK+hhquhZrjWQaGsyiDIug/BBAGgqCrcNjQ2ks/nmJ+fR6PR0NDQsKamadPmTSwFl1hYWKBUKtHW1obX6+Xoa69RKhUlq4TP56uyehgMzM7OrpmsLpeLQKBK6rkYDKLRvnmdaDR6XdlJGo0Gu93+vkiXCwgJBJEV9kGESIk2GAxkMhm0Wq0sjH277NuCiLSrq2tDstHrhSBWDYfDa8fgdUKj0dDV1cWpU6euKrj5bkFs8rq6urBYLITDYXK5HC6XS/I4ms1mmRaez+cxm80yCaN2QvvgQdR9GgwGWTv5fuLnwhcmONSUKK5Jb5cvVMXnZmdnr6jMr1LYJKqFsho16UyG02fOEIlFefjhh9m2bRtWm5X5xQW6ursprlTmnzhxgn237eML/+qLmC1m6XpSKBTs2LGD22+/nTvuuEMucqtZxlVqNelshlOnTxGORPj0pz/N5s2b8Xq9133vV+NDfC/xfl//rSAY9kVFfyqV4vLly9cUq7waxsbGmJmZuSnuuRvtN0FBNTs7KzWp3isoFApisZgk6BUlFsJtKdyoQq5FqDDUXPMfbAgNtv7+fil/cy2822PuQ3Xi0ul0NDQ0SD2os2fPolKppCDb1MQk/oYG7A47J0+elKzpAJ46L263m+bmZlpbW69Ko1Jc2SWKArpELM7ly5clee7s7KxkYRfifJFIFJvdjs/nYyqbI1PMSLdIa2urZD9fXbVfWn2dUolkIsHo6KhkSBA7cr/fj8vlYnJykoWFBdluUXAs1HMFhU57e7uURQgEAly+fJmFhQW5wKhUKkwmE5s3b0ahUJBIJJiensbn8+H1eqWOjlKpZOfOnSwuLrK8vMzMzAw+n0/ywjmdTkKhEJFIRBZSCuMsaGMaGhoIhUIsLy+zuLhIa2urVPAdGhqSXIxLS0ssLi6iVCppamrC7/cTi8UYHh5eo1DtdDppbm7GarVy+fJlOjo6UCgUvPHGG1InTavVsnt3lVZpeXmZsbExduzYwcDAAE6nE7VaLclM1Wo1DQ0NHDp0iOnpadlWQLKXNzc3S3HI6enpDcUz1Wq1nPClUolTp05J5WfBY2gwGCRL/Xp3mSiqtdvtuN1u+vr6GB0dZWmpeqpvbm7G4/HgdDqlJprA1eoGhYyLkKMZGhpiYmKCSqVCW1sbbrcbg8EgxU6LxaLsz3w+T3t7O+FwWColQPWU5/P5aGlpobu7G7/fLxWGRZG/EA19/PHHmZiYYGJigtdee03KgIixLXb3Yhxms1lOnz4t2WcEo4ZOp6Ojo4NTp04RjUbJZKqMGE1NTTQ0NJBOpxkdHb2qq1QoX2/fvl1KC128eJGmpibJ/G6xWDCbzXg8Hk6ePIlCoahSuhmNkmVErVYzPj5OOp1m9+7dTE9Ps7y8TDAYpH6FLkqn00lV5HK5LPXbXC4X4+PjLC4uyvBCIBDA7XZTV1fHkSNHyGQy76v7dP/+/XR2duJ0Osnn81I0s6OjQ+rRXb58mXg8TqFQoL6+XjKT2Gw2RkdHyeVyaDQaNm3aRCqVYnFxkYmJiRtqz4fGcAn+NLujyoFmNpuJJ+IszC9QX1/Pzp07yWayWKwWzBYLO3bu4MzpM0Qikar2Vb0PnU4nlXuvumNYWQRUK1RThhXtoJGREVLplCSZVawYDJvNJivzBZ+aXq/H7XZXdZOWgiSSCbx1XoqlIvFYfOUyFRRUjbHT5cJstpBOp4lEIqRSKZRKJQMDAxQKBRKJBG63m2g0usbg6vV6AoGA3HUrFAoGBwclB2NDQwPZbBa1Wi0HkCji9Hq9cvGYmprCYrHQ0NDAyMgIgUAAi6Xant7eXiKRCDMzM1LbSbg08/k82WyWhoYGyTCRTqdpbW3FYDAQi8VoamqqSrKssFP4fD7cbjdDQ0NSk0nQ9gieQ+G+c7lca6TLFQoFra2tBAIB5ufnJRmox+PhueeeQ61W09nZSalUoq6ujo6ODiYmJtbs9gVlDVRjhOL3uwZ3MTQ0XKUq0uloamqSxLJ1dXW43W4KxQJKhfJNlnveFOArlarkzlqtlgMHDnD6zGkKhQK7B3eTSCRQqVU0BgLEVhjzk8kknZ2dkm/SbrdLxvBEIiFPiSKu6nK58Hq9tLS0VGNiK//bCEIV2GAwkM1mcblccnPT3d0ti9Xz+Tz9/f0sLy/zxhtv0N7eLil/VCoVLS0ttLS0MDs7i8VikVx1+XyeZDIpT1hiA9XV1UUmkyEej6PX62XmYLFYxOPxoFZXKb9CoRAOh4P29nbi8bgk3u3r62NxcbHK6Tg4yPHjx6U6+ZYtW5ienuby5cts2rRJCrTa7fZrukqdTietra2Uy2VJa1Qul+VGbX5+nnK5jNFoZHBwkIsXL0qj39zcLPX2+vr60Ov1hEIhFAoFfX19LC8v87Of/UwaII/Hw/T0NB6PB7fbTSpVla0xGo3cdtttPP/884TDYbxe75pn2traKtny3y8IhiBRjK/Vamlra5Mn5kwmw+DgIENDQywsLFBXVyd15FKpFPPz89hsNtra2qRcksvlumHD9aE5m7e0tNDT21NlZTeb8PnrGdy9G51eT3NzM4cOHaKhsQGlSkWxVORjjz5KQ2MjBoOBvr4+WltbUavVvP7668TfgnFZ8HRZbTY8Xg8tLS2Mj4+vCToLyfampiYMxiqb9NzcHLl8HovFwubNm5lbmGdoeJiR0VE6u7pwr5OjV6lUWK1WWltb8Tf4yefzTExMEAwGUalU3H///ZjNZi5evCiZ6lfDYrHQ398vBd70ej333Xcf3d3daDQaXC4Xmzdvpr+/X35GcChaLBbcbjcej4dcLieN7dLSEj09Pezbt4/Lly+za9cu7rjjDqBKMDswMMD999+P1WpFq9ViMBjYsmULLS0tUnNqYGCAhoYGTp8+TVtbG9u2bWPz5s2USiXq6+vZvXu3PB3Z7XY6Ojrk5B8cHJQKtH6/f03WXy6Xo7Ozk3379lUJTwsF7HY7v/zLv4zH4yEQCPDggw8yOzuLx+PhYx/7GGq1mlgsxtzcHPPz88zNzckFQrB7z87Oct/997Nz106sdhuNjY1s3ryZ7u5uzpw5g8fjYdv2bfRt2YLeaHjTN62Anp4eHnnkEUKhEFNTU8RiMf71v/7XtLS0Uufz8fkvfoFYIk44EqG1rRWfzydVsm+//Xaam5vR6/V0dnbS0NCARqPh5MmTFItFvF6vPClaLBYsFgu7du3CV1/VOlttQFePXbVazd69e/F6vYyMjLC8vCy55j71qU9hNpuZmZlhfHyce+65h4985COoVCq2bNnC9u3b6evrY2lpiY6ODh5++OGqyOKKblpTUxNjY2Ncvnx5jd6URqPhjjvukKeg5eVlpqammJycJBqNVudvTw91dXWYTCa6u7t56KGHGBsbIxwOYzabeeihhwgEApjNZu655x46OzuxWCxEo1EOHTrE9u3bUSqV3HXXXbjdbubm5tBqtdfMDG1sbOSee+5haWmJdDqNTqcjn89TX19PT08PNpuNxIpKw6FDh6SKQCAQ4ODBg9TX15PL5di7dy/79u2jr6+P+fl59u7dy1133QVUNy+9vb0cPHiQQqGA1+vltttuY9++fej1enK5HJ/5zGeor6/HbDazdetWPB6PPOlt376dQCAAvJnpeiPZru8EYgM1Pz/P7OwsSqWSffv2VSVd4nGGh4d59NFHGRgYkPH5AwcOcODAAcnpKubf+Pg44RW1gRvFh+bEdebMGQxGIw2NDXJw6/V68vkc8UScUCjE6dOnicai2Gw2vvCFL6DTanG73Tz++OP8zz/9nwwND1Mpl4mEw6RSqaueukTSw6ZNmwguBvnGN77B/Pw8+UJe7u68Xi/d3d2kUim+/e1vEwqFqtpGlWrWVX9/Py63C8OK8uxdd91FJp1mbGQtq7JCoaC/vx+lQkEum5OcapVKhXg8zv79+9m6dSvf/va31yQSCLfH3NycJKqdn58nFosxPT3N2bNnyeVy7Nixg4aGhivu8bnnnmPPnj3cf//9HD9+nFgsxunTpymVSvz4xz/GZrPR1dWFyWSiUCigVCqlsJzRaOT73/8+8XgcnU7H/Py8ZK3ftm2bzNYDOHbsGD09Pdxzzz386Z/+6RpxvFwuJ0lfhQuou7ubj33sY1KzSrh6K5UKyWSSWCzG0tISp0+fBmB5eZn7778fnU7HxMQE//2//3cp7ijiLiJxRIgRik3L1NQU09PTjI6OcvbMWWKxGA3+Bg7s3084HGZkZASAN954g2w2y3333cc3v/lN2YdV+Zk62tvbWV5elqSqlUqlqu5rt+FZ2aykUikpDyFOzpFIhGw2i8Vi4fOf/zz/5//8H0mBJNzgSqWSQCCAWq3G5/PhdDox6FfFINa5CW02G+3t7ZI0OB6Pc+zYMZRKJV6vl66uLn7wgx9IkdZ8Pi9P7svLyxQKBRYWFrh48SKdnZ1Spfjuu+/G6/Xyx3/8x0SjUTweD8vLy/KUnUqlpNCj4LMUJ/JiscjS0pJ0cfb29uL1eqVA5cjICMlkkl/7tV/jxIkTXLx4kUgkwvnz56WBfPTRR7FYLFQqFUZGRti6dSsf/ehH+eY3v3lVui2osjaMjY3xm7/5m5w9e5ZXX311TSavCAkI8lwxr2ZmZpicnGR0dJRLly5x4sQJFhcXmZmZ4cKFC4RCIdRqNSaTiaWlJcxmMyaTiUuXLkn35MzMjKxTSyaTMjnlJz/5CYFAQLo7BRu7y+Xik5/8pCSXfvrpp6Vr7t2GOIELvk2fz8f999/P//P//D/Mzc3JMWm1Wtm6dasUHC0UCnz3u9+VROCJRIKvfe1rnD17lldeeeWG2/OhOXHV19fT3tYm9YVEHAbe9PMLlmvBls3KwmU2mzHoDWjV1RjM1TjdqlBQLpWJRWPMTE8zNTXJ4uJidcEtV1beAckVjavx8XEWFxaIRaNQQUp2x2IxRkdHOXP6DMdeO4bb5cJut8tTk0KhqE76VIrz588zMzMjsxMtFgsKhYLjx49Lv/Idd9whVYUFxKQT/wrCVOG2EgvFRrs3Ia+tUCjo7e2V7kTx87Zt21haWiKZTMp4jbiGUCoWg1xcV7iNtFqtrHNarVwrygFEe8RzEyfcRCLBU089RT6fx+fz0d/fvyZzT9ynWGjE8xbs9m63mwMHDkgDt5EE/OqYkIgzFotFcvlq/FGpUsqYndikCPbzjZi6NRoNJpPpinFVLBaJxWKcPXuWpqYmmpqayGQyjIyOEgwGqVBZE+NyOByYzWZ0Op105YmTmM/nQ6FQML8wLwUaxRhan42kUqkwGo24XC6pHyUELsVcUKvVa0hQxdwRz3K1gRfPTK/XYzKZZIxy/edXz6eN4m6riXGF21ioJAgjJ/pPfF4spmL8iezL2dlZLl26xMWLFzlw4ABNTU1SM2x9fV0ymWR6epqTJ0+i0+nYv3//mmzi1XNjNSn06rEh5pLgVBT/ij4V80L8TYzN1d8h+tFkMtHV1UV9fT0ajUZ6cYTBPHfuHOfOnbviRPteQsxJMQeEC1Hcy+pxIjYn5XKZcDjM0aNHmZmZwW63c/DgwRtuwy1tuFZnIbW0tNDX10dLSwupVIpYLCYXSLVKLVOexVFbqVSiWvHBi1Rdt9uNQW+QqZ/r05kVCgUatRqlQkEiHmd8bJzpqWm5E1MoFFXZB6VK+nVHR0eJx+KUS2UZ1DWZTCwvL3PujXMcf/11Xjt6FLPJjNPhlO4p0c5cNsfpk6cYGR6RfnURfzp37hznz59nenqau+++m/r6+iv6R9yzSI4QbgbxN/Hz+tOl0FaKx+N0dXWh1WqZmZmR2ZB33HEHoVBIJrjodDrZ3+L7xWIirq9UKqUcjJBHEWzmwl0lmLZF4Fu032SqCkY+9dRTRKNRHA4H27dv3/AZCZkYIS0Ri8XIZrPU19fz8MMPy9q7bDZbFQBdMbparVbGOYSEg7gX4eMXciUajUbeg2jD8vKyvN/1GXJGo1HKURQKBdKZqrvs3LlztLW10dHRQbFYZHpmmnA0glKpktcTlEcihigC/S6Xiy1bttDW1oZerye4tIRKrUKteXOcq9WaDTcmIkHGbDbLzZSAkI8RjPji5Lt6PK3uk9Us8n6/H4vFgk6nW5OUs2berdyPRlOVVBHfIcaJYEM3mUzodDp0Oh0ajYbl5WUpt7PhfF75NxqNcu7cOV577TUOHjxIU1MTVquVQCCAXq9f0w+5XE4qXAPScAljK4QotVrtFfNp/bXFfYi+Ee9fPffW99v639lsNgYGBmhvb8dsNq+IXVbnZyaT4dVXX+Xll1/mxIpu2HuVli42DKvjgIlEArvdjsVikfNbxDBX94/YjCYSCc6cOcPFixcxGAzceeedN9yeW9pVuHq3IXagg3t2S/G4gYEBjh49Slt7G36/vxowDYcxmowrgn+NhEIh/uqv/orHHntMusVaWlowm80Ui0UmJyfJ5XIolUpZn7Np0yaSySRDQ0Pk83nporPb7TQ3N9PS0iJ3Gf/4j/8otYbsdjuf+9znsNlsXL58WWb8mUwmkskkO3fuxOfz8e1vf5tNmzbR3d1NPB7n/PnzTE1N8fu///s88cQTjI2N8fTTT/OZz3yGqakppqamOHr0KEtLS7I/hLJyT08Pdrtd9kldXZ1MGOjv76erqwtACrutnghTU1M8/fTTtLW1rZES0ev11NfX8+ijj0oxufvvvx+n04nf76e1tRWv1ytPV93d3SSTSWZnZ/nOd77D448/XlWdjcUYGBhgcXGRb3/72wSDQZRKJQ0NDTzxxBNyYbPb7YRCIRmTE5mOoVDoCjeJRqPB6/Xy+OOPywy9P/qjPyIYDNLW1obNZuOBBx7A5/Oh1+v5yEc+wvT0NOFwmM9+9rMyo6+/v18uRhcvXpSB6Eqlwve//33uvfdeduzYwfz8PN0r5Q/f/OY32bJlC5s3b5YZkSMjI/zzP/8zn/3sZ1lcXCQej/Pyyy8zPTmFzqDnoYceYmpqinQ6TS6XY9++fczNzZFIJGScJR6P83/+z//h4Ycf5pOf/CRnzpzhjTfekCfJPXv2EIvHmJ2bY3BwkEgkIhMw+vv7qZTLMvMvHA5z7NgxHnroIe666y727t3L8PAwx48fZ3Jykr/5m7+hra2N5uZmxsbGmJiYYGlpSWYSajQaHA4HFy5cwOfz0dTUxMDAAKdOnWJmZobf/u3fli4gr9fLrl27qK+vJxQKSZHBuro6xsbG2Lx5Mz09PXzve9+TBfcej4f//b//tzzZ33XXXdJY/Nmf/RnBYBC/3y/7RqVSEY/HaWhoIBqN0tzczCOPPMLi4iLBYJATJ04QiUTw+Xz8h//wH/i93/s93njjDeltaG1t5YEHHpBimqdOnSKVSjE5OYnFYuFXf/VXOXbsGHq9HpvNRl9fH+Vymc7OTrq6upheEY3t6ekhGo1it9sZHR2Vgplbtmyhp6dHFqU7nU4aGxvp7e3FZDKRSCRIp9PU19fT3d2NYUVdeceOHeRyOSYmJti1axfxeJw33nhDJja811hcXMTlcnHnnXcyMzPD4uIif/EXf8F9993H3Nwcly9fxmAwMDExwfDwMJ/85Cfp7u4mkUhIt29rayuf+9znOHz48FVFXa8XHxp2eK/Xi8vlojEQYHFxQS5gp0+fxulwEggE5IBVa9Ts2jXI+XPnWF5elkqzCoWCpaUlXC6XZKoYHR2Vx3iRemu32ykWi4yMjMjsOagaC7PZzK5du2SsZXx8nFKpJE8SPT09aLVaotEoExMTVRHHlRRtEQ8YGRmR2XaFQoHh4WEZ4+nr6yOZTDIzM0N7ezuZTIZUKoVWq2V2dlYaUZVKhcPhoLu7e83paceOHdLYiT4DZMB/9XAwGAzY7XYcDgdLS0ssLS2hUCjYsmULXq+XxcVFnE4npVJJFmMbjUYsFgunTp0im82iUqnYunUrxWKRVCrF6OgonZ2d6PV6IpGIFOdbWFggm83S3t5OZ2cny8vLsi1qtZr5+XmZDZjL5chmsySTSRYXF9dsYL7yla+wc+dO/vt//+9SrC8cDpPJZKR7cX5+Xrq2JicnSSQSAGzdulWm7Qr3WzQaZWpqiu3bt5Mv5IlGo8xMzxAIBGTKv9Damp6ZxuWqysPX1dXx+uuvo13JLDWbzVKEVKVSMTc3h8Pp4Mknn+T8ufMkkglKpTK7dw9y+vQZnn/+efbu2cPCwgJLS0uUy2W5CxeaVGLsNDc3k8lmia9kaU5OTbEcCtE/0E9wMUg4HGZmZkb2kUKhYNeuXTJrUizywlgajUaUSiXJZFJmES4uLjIwMIBSqSSdTjM+Pi4TboaGhigWixgMBjZt2iSZPux2uyzREPHUyclJpqenpQw8wMjICG1tbeh0OrLZqqS9xWKhublZMsGXy2V5Stbr9ezYsYPh4WE5/3bu3EkkEmFoaIiWlhbpqrJYLCwtLWE0GvnKV77Cn/7pnzI0NCQ3aC6Xi6amJpLJpDwlvvHGG1KWXhgnhUJBU1MTZ86cWaNaPjc3x+LiIv39/VJgdnJykoGBATQaDcPDw1Jd22g0curUKVnGIsZvqVRicHBQxvK0Wi1NTU0Ui0XC4TBNTU0y1vp2ZFFuJoxGI06nk76+Pi5duiSFRFtbW6XwqcViYW5ujlgsRnt7O3a7nUKhwPnz58nn8zgcDrq6utZkRwrV7Z9rIUmpJLwSjBVuh+uBEL8Tp4prx7neXwi3Qrlclkfyd1O+W9SdrI65iNdqn//bGUqiXmy9u2O9+2m1JpFSqZQxHrEwrcev/Mqv0N/fz2/+5m+SyWTWfPfq1Oz17RYbExFLuR6ImFA6nb4u8U3hPs1msyiVSvx+P5/61Kc4fPiwjMn++q//Oq+++ip/93d/t+H1xGu12reoD8vn8zIN/HpcSMJVu56WarWLciNF4KtBxD1Wx7DeSrhUqVRek1HFaDReU736ahCu60QigV6vx+Px8OCDD/L9739/jREXsFgs5PP5NevF6udbKpWkm/e9gCgXEKnnHwRtro3miNiQazSat1yDhBvfYDCsibH/3MuaiBOLwNvZnbxXA/JmYLUReS8G8/rF52YYdVGcvR6rkys2+ttGCRWrIQpC1xstuLaYpuCefDsol8vXzb24/n5sNhuBQIDBwUF+/OMfEwqFsFgsnDlzRmZcbnS9jfp9dZ+83TG/UT/f6CJ5LcHNjXA9wqU36k7K5XKyL4rFIouLi/z5n//5VcetOHWvxvrn+16uEavH4geFKm2jOSIyMK9n3ImN4s3YZH+oDFcNP79QKpU0NjYyPT1NPp+nt7eXiYmJd/Uk+k6QSCSYnJzk6aefpq+vTxbb/uxnP3vf4hgfVqzObK3hw4Ga4boGRKbdWw34GyFBreHmQ6FQSKqdDzqKxSLRaJSzZ88SCASkW2hmZuZtn/xquDZqc/Pdw/u19t3SMa53s9NErEWhUMg6i40g0p+FG0HEMVbXpdRQQw01fBixPv59I/i5i3EdPHiQw4cP3/TvbW9vl3RHbreb48ePc+7cuSveNzg4KNPfv/3tb0sGiL/4i79YQ3hbQw011PBhQl1dHVu3bmXTpk2cOnVK1sG9V7ilDZdgJLiZUCgUsrYpEolckfCxGsViEbVajd/vl9k1TqfzLfnRaqihhhpuJQhVCrPZTDgcplKpUCgUqKure9unJbvdLj9/o8k3tzRzxltlPm2kRbVaF2gjLkKlUsmePXswm8288sorPP3004yNjW34uenpaebn51EoFJK5XSgmr4b4zNXasR7r33+t99ZQQw01vNswmUx4PB42bdokay9HRkYoFovXXE/Xr11CwaGpqUnydN4IbukT19VONULBtr+/n8nJSYLBIIuLixgMBtrb22loaCCVSnHx4sU1gXyLxUJLSwudnZ1otVpCoRBHjhzBbDbjdDppa2sjEokQDocZHx+/qtbR6vb5/X78fj8Gg4FgMMjExAQ6nY7Nmzej1+tZWFhgdHQUi8UilYq3bdsmWaPPnj3L1q1bJeXRyZMnq0XUKxIQNdRQQw3vNu644w66u7ulmrkgDFAoFPj9fvbs2YNarWZ0dJS5uTmgSibu8XjYunUrJ0+elAK5n/nMZ8hmswwPDzM5OXlD7bmlDdfVsH37doxGI8FgkP3790u25sHBQSnHbrfbryDcLBQKUjRPVLU7HA4CgQAej4fJyUmam5upr6+/Zk0QVHcogvIlGAwSi8XYsmULKpVKEmx2dHQAMDo6yu23387o6CiTk5OSP89gMLBv3z7JAGGxWFAqlbS2trJt2zaeffZZybpdQw011PBuIZ/Pk8lk0Gg0xGIxUqmUJBEQCRqCjFvoGra3t+NwOEin02zdupVgMMiZM2ekNuE7Kfu4pV2FV8OWLVsIBAJMT09z22230dPTg1qtZnBwELvdLkkg1xOh5vN5gsEgmUyGUCjExMQEPp+Pjo4OWltbpbhhd3e3VC2+AiunZZvNRqCpqlGUTCYlp11Pbw/19fUkEglaWlrkcfn2229n8+bNuFwuVCpVNSVaAXv37pWuSEHmGggEuOeee7DZbFeQzNZQQw013GzEYjGCwSBLS0sEg0FZmC2048R61tnZSUdHB1arlZaWFvx+P6FQiG3btrFp0yay2SzxeJxgMLghg8n14pY+cV3txPOtb31LEl8KVmeAoaEh9uzZw8c+9jH+6q/+6opqb1FLI+iEisUid955J9FolKGhISqVSpV3q1Dg3vvvI/R3f0dFgXyhWBHvU0BXVxetra1cuHSRWDxGIpnkZ8//jDvuvBOHw8GRl45gsVmpq/fhqfOytByiobGRuyzV4OdrR48STyRwud187vFfIJlI8N3vfY9SucSLR17klVdeWUP7U0MNNdTwbkFIlAjpkmKpREUBi0tBpmemGRkZ4ciRIzidTtxuN8899xzJZFIqTDudTpnstlqL7UbxoTtxKZVK7rnnHrZt2yYJVIU44fT0NEePHuXo0aM88sgjtLS0bCjrvTrQKKj8jUaj/LlUKpLJZCivcNyt/6x4HyD1jaBCeRU9Srlclm7BAwcO8Nxzz5FIJuju7q5W+pfL5LJZJicnef7555manuZjH/sYTpdL8rvVjFYNNdTwXkCsNevj+lVe14rc9FcqFdRqNfX19ezatYve3l4uXrxILpdbszZeLZnjenFLGy7BSycgMlh27NhBb2+vNBKCLLNQKDA5Ocnly5fZsmULDodjjbtQkPQK/RyNRiMlIhwOB0ajsarxpFSxsLCAUvHm+3UrWk5arbbKFp4vkEgkcDqdmM0WjEYjRoORaCRKJBKlUqnKhhSLRTraOzh79izxWByH3UE2k6VULFIuV7nfLl26JBmojUYjZrMFn88niYFrqKGGGt5NCGFMk8mEwWDAsKJ3p9W8qcEniI31ej0Oh4NNmzbR1dUl3Yoipb5YLKJSqd52Gv1q3NKGq7m5mZ6eHvmz2AkYjUba2tp48MEHMZlMtLS0cO+99/LII4+wdetWLBYLJ0+eZHFxcY270Gaz0d/fT319PY2NjTQ3N/PjH/9YBhd37drFzp07qaur4x++/fe4nE76Nm2mqTFAe1s77W3ttDa3sG1gK6GlJZ5/7mds2dzHzh072LljJzu2b+f1Y8d46cgRqFQ4deIk5984R3BxkVwmy8z0NGfPnGFsdJRkIondZuPRRz5GZ3sHShScOnGSWCTKrp07+cM//EMaGxs3jrPVUEMNNdxELC0tkclkOHDgANu2baO/v5+t/QM0NzXhq6uToqa9vb20tLQA4PP56Ovr48EHH6S5uRm/309XVxdzc3M4nU4eeeSRG27PLU351NLSwvLy8hpmZ4VCwaZNm9BoNCQSCWw2m1TlNBqNcucgZLFXs1uo1WrMZjPt7e0kEgnm5ubI5XJ4PB5sNpvMpCkWiwSDQSwWCxaLBafTydjYmKx1ENpGhUJB6tWIYuVgMChl7UXmodlsZmJiApfLhd1uZ25ujmw2i1qtlro8on2Tk5PY7Xaampq4cOECuVzufZc7qKGGGj7c0Ol0WK1W2tramJiYkKrndXV1hMNhFhcXaWhokLI2c3NztLS0oNfrmZ+fp6GhgUwmw8TEhFz3DAYD586dq+lxCQjNovX6WoAUi1uvQfRWUCgUmEwmstnsdckxrIaQJ9/omkIjShyfhdbSahiNRiqVipSvEDyKtTT4Gmqo4b2C0Fu73qQwEcooFAqo1eo1JURC700oyNcMVw011FBDDbcMbsRw3dIxrhpqqKGGGn7+8LYN14svvshDDz0kiWW/973vrfl7pVLhP/7H/0h9fT0Gg4FDhw4xPDy85j3hcJhf+IVfwGq1Yrfb+cVf/MUak3oNNdRQQw3XhbdtuFKpFAMDA/zJn/zJhn//gz/4A/74j/+YP/uzP+O1117DZDJx7733rik2+4Vf+AXOnz/PT3/6U37wgx/w4osv8uSTT974XdRQQw011PDzg8o7AFD57ne/K38ul8sVn89X+cM//EP5u2g0WtHpdJVvfetblUqlUrlw4UIFqLz++uvyPT/60Y8qCoWiMjs7e13XjcViFVZIKmqv2qv2qr1qr1v3FYvF3rbtuakxrvHxcRYWFjh06JD8nc1mY/fu3bz66qsAvPrqq9jtdnbu3Cnfc+jQIZRKJa+99trNbE4NNdRQQw0fQtxUrsKFhQWgqo65GnV1dfJvCwsLeL3etY1Qq3E6nfI96yEYMAREJXYNNdRQQw0/f7glsgp/7/d+D5vNJl+BQOD9blINNdRQQw3vE27qicvn8wGwuLhIfX29/P3i4iJbt26V7wkGg2s+VywWCYfD8vPr8du//dt8/etflz/H4/Ga8aqhhhpqeI8gssSLxSJmsxmFQkE+n2d8fFxqB9bV1Un2+HK5zPLyMuVymbq6OqxWK7lcjqWlJeLx+DsmCL+phqu1tRWfz8dzzz0nDVU8Hue1117jV37lV4CqvlQ0GuXEiRPs2LEDgJ/97GeUy2V279694ffqdLo1ZLo11FBDDTW8d/B4PLjdbkqlEjqdThLrhsNhSqUSRqORvr4+EokEiURCUtGVy2V8Ph9ms5lisYjRaGRoaIhyuYxSqbxhaZO3bbiSySQjIyPy5/HxcU6fPo3T6aSpqYmvfe1r/Nf/+l/p7OyktbWVb3zjG/j9fj72sY8B0Nvby3333ccTTzzBn/3Zn1EoFPjqV7/KZz7zGfx+/w3dRA011FBDDe8e/H4/3d3d+P1+vv/97+PxeHj44Ycxm82Mj48TiUT4tV/7NY4dO8aJEyeYmZlh9+7daLVaEokEx48fp7u7m9/6rd/id3/3d6lUKjidTl5++eUbas/bNlzHjx/nzjvvlD8LF94Xv/hF/vqv/5rf+q3fIpVK8eSTTxKNRtm/fz8//vGP0ev18jPf/OY3+epXv8rdd9+NUqnkE5/4BH/8x398QzdQQw011FDDu4t4PE5waYlSucz0zDTBpSBGoxGPx8PCwgLDI8NE4zHOnz/PkSNHyGaz7NixA5vNxje/+U2SySTRWIzh0RE6u7rw1nlpbGx87wzXHXfccU3/pEKh4L/8l//Cf/kv/+Wq73E6nfzf//t/3+6la6ihhhpqeB+Qz+fJZNIkklqSySTZTJZgMIjD4aBYKpLNZsnlciyHw8zPzwNVEV273U4qlaJYKpLP54jFYpjMJurq6mhqarrh9twSWYU11FBDDTW8/xDCtQaDgfr6ekZHR1lcWKz+sSL/D0CyyDudzqoK/IrqcSKRIJvNolKpbrgdNzU5o4Yaaqihhg8nLBYre/fuJZVKkUomSaVSHD9+HI1GQ29PL16vl0BjgEAgwMzMDD/72c9obW3l0Ucf5ZVXXsFgNKDTaDl98hST4xMMXbp8w22pGa4aaqihhhreEuVymUwmQzqdJhyOUCwEicViGAwGkskkh194gYmJCfL5PJVKhZmZGQqFAgaDgUwmQy6X4+LFi4TDYdLptNQXvBHU9LhqqKGGGmq4Jnbt2kUgEMDtcfODH/6Q4GKQ4nUK2QoR3nK5TDqdvuLvN6LHVTtx1VBDDTXUcE2o1eqqojEKCrn8dRstgEql8rYV598KteSMGmqooYYargqFQoFSqaRSqZDL5aQRezuoVCrvmC1jNWonrhpqqKGGGq4KpVJJsVhNeS8UCtJwFd7Gqetm40NpuETK5i0YvntHUKykm0I1kPphu97qa97sHVwNVbzVM1UqlXIhq+HnA6VSiddffx2lUil/fr/n3i1vuJRKJTabTe4GisUibrcbo9GIVqtlfHz8qpNMBA17enrQ6XSUy2VSqRSVSoVsNksikWBxcfE9e0h6vR6j0YjJZGJ5eXnDQOZGUCgUWK3VVFW73c6zzz5LLBZ713ZEBoMBr9fL/fffz5EjR5iZmSEWi92U7/Z6vbhcLoaGhiiVSvL3JpOJhoYG7rrrLp599lkWFxdJJBLX/b2CTiyRSJBMJt/3ifdBg16vx+l08uCDD/L6668zPj5ONBqVf1cqldx9990AhMNhTp8+veb5fFigUqlobGwknU6TTqevGptRKBT09PQQDocJBoMf+vFULpclv+AH4V5v6RiXUqnEaDTS3t6OzW5DveJ3NRqNuN1u2tvb0el0cge5HgqFAr1eT0tLC/39/fT29lJXV0ddXR1+v59AIIDL5VpDV/VuQqfTYbFY8Hq9b+uaCoUCnU5Hf38/t912GxaL5R0V970VNBoNTqeTQ4cO0dDQgMFguGnfbbfbaW5uRqVSrXluGo2Guro67rnnHurq6q7ZP6I/NBqN7Ae3243L5cJoNF51PNwMGAyGW5IQWq1WY7VaOXToEC0tLZhMpjV/VygUbN68mb6+Ptra2t7V8SWup1Qq0ev11eLVt4BSqUSj0bzjuapUKvH5fNhstrccY01NTTgcDtlWrVZ7Sz7764HFYsHlcmGz2d71Z389uKUNl9frZXBwkN//g/+Xwd27MZvNAExNTZFMJunr68Pj8WA0Gjf8vKhLmJqawuFwUKlU+OlPf8rhw4fJZrMcOnSIr371q2zfvv09uR+FQnHFgn09KJfLBINBpqenmZ2dfVcXZqiWI8zPzzM+Pn7D7M5Xw2pX4GpEo1Hm5uYYHx8nn89f8zu0Wi19fX00Nzfjdruv+P53E7t376a/v/9dvca7gWQyycLCAuPj4ySTySv+XiqVuHTpErOzs+/Jjlur1eJ0Otm+ffsaiaSrwWKx0NTUxI4dO67L0F0LYgy+1VgR71Eqldjtdrq7u+nr63tH1/4gQvDJfuUrX+G+++77QJQi3dKuwkgkwsTEBAsLC2sUkiuVCtFolLNnz9LX18f4+Djnz5/f8DsqlQqFQkFS8ENVH2xoaIhUKsVv/MZv0NraytTUFMViUUqsWK1WFhcXUSqVuFwuqUtjMpnweDzMzs7Kvzc3N+NwONDpdMTjcVKpFLFYjFgstiaOoNFo5I5NnAYDgQDZbBadTkddXR2zs7NEo1HpxhF8YM3NzXR2dmKxWICq7pnYBU5OTmI2m/H7/SwvLxONRuXi1NLSIl2r586dIxqNUqlU6O7uRq/XU6lUOH/+PMViEaVSicfjoa6ujpaWFnw+H1qtdsN+VSgUeL1eeTqanp4mEomg0+kIBAJotVqi0SgajQatVotGo2FkZAS1Wi1dElB13Xg8Hvx+Px0dHXi93jULU0NDA06nE4vFwvHjx2UbH3nkEcbGxpienqZUKqHRaKQkw9atW2Wc5o033pAn61QqJRfmjo4OFAqFHGPrYTKZsFqttLe3EwwGSafTlEol7r77brLZLAqFguHhYUwmEw6Hg6WlJaxWK2q1mgsXLqwRRR0fHycWi5FOp+nu7sZisaDVannttdeA6ilu06ZN5PN5EonEGnUGAYvFgtPpJBAIMDU1xezsrJSUMBqNZDIZ/H4/pVKJYDDIwsICpVIJhUKBx+PB662Snvp8vqueNCqVihxTg4ODhMNhuaGAN5XMA4EAxWKRqakpSfnj8/kYHR3F4/Fgs9k4d+4c6XSaYrGIRqOhp6cHjUbD8vIys7OzNDU1sWfPHrxer1wop6en8Xq92O127HY7s7OzxONxkskkt99+u5TPCIVCLCwskEwmaWpqwmq1olAomJqaIpVKSS9NsVgkk8mQSqWor6+Xc0OpVKJWq+U402g0OBwOenp6SCaTRCKRNSEEg8HAvffei9PplNqC4hmqVCrOnTuHyWSiubmZZDLJ0tISoVBowz7+IKJcLjM3N/eub/reDm5pw5XL5aQhWB/HSqfTTE9Pc/D2g28ZCymXy2t2kZVKhUgkQi6XQ6VSYbPZ8Hq9FItFPB6PPNllMhm0Wi1dXV2Ew2Hy+TwajYYtW7ZQKBQIhULU++vxeL3Y7TYMBgMej4dwOEwimYR140Cr02KxWLDZbMzOzlIsFuno6CCRSKBQKrHZrFitVqampojGYlgsZpwOJw5n1ShqdTppSPQGPRaLBb/fz8LCAiaTCb/fj1arpVQqkc5k8Ho8WK1WjCvGVm/QYyyYcNjtmM1mLFYLZrOZ+fl5cvk8SqUCb523OilXDLhCqbziPoQbxWK1YjQaMRqNBAIB7A4HC/PzuN1uLBYLFqsVlUpJuVymkK9mKwlXqUqtwqgxodfp8Hq9mEym6qZBr5OuQJfLhdPppL6+HqfLydT0FOl0Gq1WS0NDA8vLyyyFllCr1dgddkqlErl8HqfTidliQa1Wcf78eZxOJw2NjUxOTODxeFAoFegNelxOF3qDgWg0Siweo1J+c4x467z46/1odTq5KYlGo/jq68mk0+gNelRqNXW+Onp6erh06RImkxmlQsHY2BhujxuHw4HBYKC9vZ1oNMrs7Cx1dXWYzWaUqqqBsFqtOJwOTGYzFqUSjVYD6+yW3W7HZrfjcrlobm6mWCxK0b76+npcLheJRAK73Y5KpcLr9RKJRKQ+ktfrxWq1yk2Z2DRsBLVajclkwmazSXHAUCgEiuoC7vf7ZftNZjOTExP4fD62bdtGOBLB5Xbh9XhRKBRcvnyZRCJBc3Mzdrsdo9FIQ0MDoVBIxlHtdjsGgwGtVlvVhPK4sVqsqDUaWlpaiMZijAwP43K7cbnd6FdcxBaLRc43jUaDUqmkp7eXkeFhOaddbjfxeJy52VkcDgeZTIZkMlk1QKVSNfVbo8bpcuJ0ONEb9Oj0ekrlMsvhsOxHtVqNx1s1yNlMVo5ju91OXV0dIyMj0nCNj4+/4xPh+4FkMkkymUSr1WKz2SiXyyvEuxnUanV1/dFqyWazcoMvXIoiPqZQKOQGMpfLvSNvzS3tKhTYyHWRTqeZnJ6iobERt8e9wafeGqVSSe62A4EAHR0dPPjgg1KHRqFQYLfbGRwcpK6ujkqlQjAY5KMf/Shd3V0YjAY+/olP4G/wky8UyOZy7BzcxZaBfqKxaPW0pUC+HE4nbR3tDO7ZjdPtwmy1cPudd7D/4AFa21qZmp7m0595jDvuuhOVWsWW/n42b+mjMRDg8JEXmZqeIpPLUlFANpfDarNx/wMPoNPrUGnUOFxONvVtxuurw2gy8tAjD4NSwaXLlwgth6gAgaYAn/ncZ1laDhFPJGhqbmZwz2527trJ1m3b6O7pYXZ+jqOvHSWVSVMqrwvQK0ClVvGFf/VFOrs6mZia5NLQZW47sJ9f/PIvEovFUCgUOJ1Otm3fRnNLCwqFkgsXLlAoFOju6eajDz2I3mCgpaWFrVu30t3dzfDoCMdPniCdyVCpVPB6vezfvx+vrw6bw47D6eSOO+/E7fGQSCVZXAoyNDLM0PAwofAyfVu2MLB1K/4GP+lsBqfLyfYdO1AoFVhsVmx2GyNjo+wc3MW+227j0uXL2J0Ounu6Gdyze+3JUgF79u7lvgfu54XDL1Cmgs1hZ35xgVg8xszcLK8fP04qnaKzq4tPffrT7N6zh4bGBvRGA/UNfrb099MYCPDK0Vd56JGH+fwXv8Dgnt3YnQ7yxQKLwSBWu429t+3jvvvv59LlS+TyOXR6/ZqNgkKpYOfgLno39eJ0OTFbLWzq28ze2/aBUsHmvs3ccccd3HbbbaTTaaxWK7/6q78qN2Pbtm2jp6eH5eVlXn75ZXlyvBpMJhM+n4/p6Wk2923mX/3rL+FwOfHW1dHc0sLOwV1MTE2Sy+f52q9/DYPJSKC5iYceeZg6X111o6NU8B/+4zfo69+Cy+Pmy08+QTyZoFAq8stf+RVsdhuJZILxyQkmpiaZmJpkcSnInXffRUdnJyqNmqOvHeXuew7xiU9+AofLyfzCPBOTE0xOTzE+OYHL4+b2O+/A6XYxNTPNzNwsX/03X6W7tweVRs3M3Cx79u5h566duDxugqElQuFlsvkcu/fuobunm/oGP3aHg527dtHc2sJLL79MNpdFqVKiUqt44MGPsnlLHwqVksmpqZXXpPQCKRQKDhw4gF6vR6/X4/P5mJmZIRKJ3NB69H6iUqmgUCjQarXs3LmTXbt20drailqtxuVysXnzZvbv309HRwdut5stW7YwODjInj17GBgYoLe3V8bgd+zYQWNj4ztqz61vuFYmcaVSobKKmbhUrlp1jUZzwzschUKBzWYjnU4zNTXFwsICY2NjvPHGG/zoRz9iZGSEUChEJpORpzaxmygVS9LNpVKpyGQyhEIhYrEYuVwOvV7Pox//OJ//whf47Oc+h8frJZ/LsbCwUDXElQr5fJ6FhQVGR0cZHh5mZHhYukUdDgePPPIIJpOJkydPUiqVSCWTxONxALLZLNlsVhr1QqEgs+m8Xi9dXV0oFApyuRzh5WVOnDhBLBbDbDazfft2du/ejd/vJxQKMTk5SWNjI/fddx8nTpxgKRikWCwSiUSqDNCr+kylUmEwGGhtbUWn0xEKhVgKBslms2g0GgKBAOfOneP8hfN0dHSQzWaJRiPy5JxIJIjFYlQqFXbu3MHBgwc5duwY0UiEQj5fPSmUSiwuLvLiiy8yNzdHKpWScQatRkO5VKJYLJLP58nnchSLRdn3lUqFixcukEwkqKurw2gyUSgUpJx4W1sbO3bsYPfu3bL/p6am3lzMV8abuJ/f+I3fwGAwMDk5KSXLS6WS7P9UMkk4HObZZ5/lueee442zZ7nrrrtobGzE4/Gwd+9ezp49yyuvvMLc3Bz33nsv+/btw+v1Eo1EZMbmb/7mb+L3+6/I3qxUKrz22mucO3eOpaUloHrysdlsVc9BuPodw8PDDA0NMT4+ztLSEkajkS1btvDQQw9x9uxZ5ufnKZVK0nNwNcTjccbHx5mYmODy5SFGRkZwu93s3LmTvXv3YjabGRgYwOl08vTTTxNaWpLP9OKFC5w4fpxjx46RSCRQq9WkUin+/M//HIVCQX19fTVmpFJRXnHhCyl4tVrNoUOHKBaLDA8PUywWGRsbIxqNMjg4iFqtplAoVN3+xSJtbW3s27ePCxcusLy8TCqV4ty5czQ2NtLU1MTkxAQXL14km82yadMmpiYnCYVCFAsFFhcXyWQyWCwW7r33XrLZLNNTU2QzGU6dPMmlS5dIp1JEo1E5x8S1CyvtnZmZYX5+Hr1eLz00oVCIZDL5ljHaDyq0Wi2NjY0sLS1hs9n4N//m39DQ0EAul2N2dpaPf/zjNDU1SXdsJpMhn8/T1tbGwYMH6ezsZGZmhjvuuIN7772X/fv333Bbbr0z63pUVgVTV/1aoahmGRWLxbdM290oGKvRaKouD6WSVCpFKBTC6/VKYshwOAwg42NKpXJNfVGFCsViiZnpGfQ6Pb46H+FwmKmpKSLhMKViiUQ8QalYorSy0BYKRQr5glQGqJTL5HN5spksmXSaTDpDIZ+nUi6jUavxejwYDAZKxRKsGM3Sisu0XCpTLlVjRQoUVMoVyiv9oNfpsFos1ZiLSkWxUCRZSKDTVyW57TYbmUyGpaUlyqUyoaUQKqUSj9tNqViiXK4aViFbsN7zrVAqsVosaDUaSoUilUqFcqksn1U6nSaRSJLNZqUQnXhGpVJJ/rfVYsXlclEsrnzHyjWpVGRczGI2Uy6ViUaieLweFIqVdN0KVMortV7lCoV8AeXK802n0tU4YSRCX18fKqWyuuhXKphMJgwGA/FYnNhKLDC8HH4zFlkBpUrJ4sIioyOjeDxuAo0ByqUS05NTK++pUCmV5f0U8gUi4TDRaAyj0YDD4agatkyGRDxBPBYnX6i6XSZWXEnNTc04nU5y2Szz8/M0BQLUeevIZbNcWIk5inFitViwWqyYTCaikWg1w1athkpFGvBMJkMmk5FlI0qlErPZjMfjkfFdEfe7VvKFGKvZbJZ0OkU6lZauObPZTDqVIplIkkgmWJifJ5PJUCqWKBaKpNNpkskkGo2GfC5PqVhCo9bgr/dXpS4yWfK5PKxcv1IuV/uyXB1jtpXxWiqWoFwtWSnk8+i0OjLZzJtzr1JBp61m6JZKJcqlEuViiXQ6jUqlQq1Skc1micdi2G12Gvz+6txfGS+FfJ5yuYxapcLr8RCLRqvGtFSWsWGNWlOdCyvPuVIuV8fbynfkcjkSiQQLCwu0tbXJ5BcxZ25FiPtaXl5GbzBgMBqwWCwkEglZRmQwGLDb7ej1ehnHa2xsRKlSUSgWWFpaIhaLodVp35Ee161vuFZl9qz2zWvUasxmM6lUikzm2r5UEYxdndFnNpvx+XwUCgUikQjBYBCfz3dFxlulUqFcLqPValGr1dKAKVCQz+U4/MIL3H333fR0d3P58mWOHj3K4uIi2UyGnz33nPyecrmMyWBEqVCgXPm8AsWan4FVv1dCBcxGE26Xi9DSkvybSqGEFYOiVVf9++I7VAolapUavU5Po78Bs8ksazOUCiUqhRKNWsPF8xeYnJyUxYapZAqlomq8UskkSoUS5cr3KRVv9nulXF209To9Om3VEFYX2arhFDvtcrnMyMgIO3fupFQs8tKLRygWi2s3EQoFarUar9dLIpmo3oNCgUKppK6ujvb2dpRKJeFwmMmJCbwez4rXVQGVCiqlEpWy6mev9mO1zQBzs3Oce+McH//Yozz77LOcPHkSKqBRqcllspw8cUIu4uuLndUqNZcuXmRudpbu7m7uvfdeNvX28tKRl1BUVp7RyjiRT66C/LdSKpOMJ5ifm+f4668DVRec2+3mr/73X3H77bfzwAMPcPnSJZaWlhi6dJmxkVF++Zd/mc2bNvHsT58lXUpTrpRRoGDXzl2YzWYqlQrj4+MoFc1YLBbZjo2C6qsz4jweD4lEQsaJxRjeaJ6s+X0FqFSqfVquUMwXCC+HOffGG3LRKpfL0huuXBkrSoWSbCZDLpvFZrXyy7/0S/zhH/4hszMzJBOJ6uYARfVfRXXsUoFcNodep8dmtRJeXkaJglKxRDwWq85dLagU1Y1aqVikmC/gsNlJxhPVe0VBJpUmnUqvtCGLVqOhuakZt8tNIV894YlxolyZC16Pl0w6I9cYMRbE3HyzrQpUqzaw8Xic48ePc+DAAcbGxnj66adv6cLtXC4nM5dL5TIjo6OYLGZ0eh3LoWXOnj2LWq2mq6sLk8nE0tIS6XSaxsZGSpUys7OzzM7N8uJLR+jo6KAxcOPuwlvacLndbrq6umhubmbXrl2o1Wp++sxPKBaL2Ow2tvT3c+HCBSanJjf8vEajweVysX//fpkltbi4SKlUkjUZ/9//9/8RDodRq9X09/fT3d1NLpfD4/EQiURIJBKcP3+eT33qU4RCIek6aWtrY+fOnezZs4fGxkb0er10n42OjnL48OErmAn8fj8DAwO0t7fT2NiIWq2mp6dHZihNT0/j9/vl77/zne+wbds2fvM3f5Pnn3+eTZs2YTab2bt3L88++yyFQgG3283nPvc5GYh3Op0cOXKEy5cv8/GPf5zPfvazPPDAA0xMTHDkyBFisRjPP/88X//618lkMszPz/PUU08xNjbG97//fb7+9a9z/vx5IpEIXq+XrVu3otFoZGaZKDH4h3/4BwwGA1/4whcYGxsjkUhw6tQpjEYjH//4x9Fqtfz4J8/Q2tpKe3s7v/Zrv8YzzzxDU1MTfr+fbdu2cfnyJUJLS/zWb/0Wx15/nWKpiNfrZeeOHcRiMUqlEoODg4RCIYLBIIODg9J9NDo6yo4dO+js7OSZZ56Rk8ntdvPaa68xPj5OKpVi27ZtpFIpWUR66tQp+vr6+B//438wPT3N0NAQr7zySnWyrpwEy+Uy+/fvp6+vj9dff51Lly7JnXgoFMJqtfK5z32OEydOEAgE8Pv97N69W7rkvv/97/Ov/tW/4tChQ+zZs4e5ubnqyaRUIpPJYLfbGR0dZXx8XKb1nzlzhpmZGfL5POl0es3YKRQK1NXV0draitFopLOzE6vVKuOyLS0tWCwWmZXX2NhIX18f0WiUf/iHf+ArX/kKo6OjzM3N4fP52LJlCyqVipmZGeDNMo3u7m7cbjelUokXX3xRZnoGg0GGh4eZnZ3l3/7bf8u2bdtk5uJTTz2FSqXCZDLxqU99ikQiQSaT4Y//+I+ZmZmRGaF33HEHSqUSlUrFwYMHq4vc7CwPPfSQTK74X//rf7F582YeffRRjhw5gsvlIhaL8dJLL9HQ0MDOnTs5ePAgly9fZnJyku985zt84hOf4OzZs8RiMXQ6HSMjI5TLZb7yla/Iso54PM6v/dqvcezYMc6cOUN3dzc+n4/5+Xn++Z//mSeeeIKDBw+ye/duJiYmmJmZYXJyEp/PR2dnJ7Ozs9WY3+bNNDQ0MDo6yujoKJFIhOeff57u7m6KxSKLi4vvGcPMzcb6TYsIi1Q3ddVM7GeffZZ9+/bR39/P4cOHr0qA4Pf7KRQKnD179obbc0sbrmw2y8L8PP/0T//ExMQEszMzMnvFZDTRFAhw+vRplhaDG36+XK4e/c+ePSsr5aempiiXy6hUKpRKJcFgkHw+L9OYQ6EQhUKBbDZLuVwmkUhw4cIFdDodyWSS+fl5vve97zE0NMTy8jLJZJKJiQlKK3GZxsZGGhoacLvdhMPhNW7MxcVFzp49K+NKiUSC559/nng8TigUIpvN8pOf/IRkMim1borFooy9xWIxNBoNk5OTpFIpuXCIDEWlUiknbzgc5ic/+Yk8Ec3PzxOLxUgkEhw5coSWlhYZx4rFYiSTSRKJBE6nk/n5eVKpFPF4nNnZWRYWFtb0a6lU4tSpU9LgiviS6K9z586hVCqZn5vjheefR6vVkUmnCYfDnDp1mmQyyezMDIV8gTnDHFarlYnJSYrFAuHlZaampsmk09LtkkwmJVPIxMQEiUSCs2fPStdMPB7ntddeQ6vVkkqlyOfzlEolQqEQhw8fZmZl3ACcP3+eaDRKIBAgFAoxPz9/BdNGuVyWca+FhQXi8bhkOTl69ChGo5F4PE4sFuPs2bMUCgUmJydJJpNyHLzyyiuMjIwQjUZZWlqqxkVX0tPD4TBjY2Py30QiwfLyMsePHyeXy12x+I2OjspNxsTEhIxhJZNJzpw5w9TUFLFYjEgkQqVS4bvf/S6jo6OyzW63m1AoRDQaJZ1Os7CwsOaZCq/CqVOnMJlMVCoV0um0jBFNTEwwNzeHRqPh6aefJhqNyjaLZyTiPtFolEwmw8zMjIxN/su//AuTk9XN5dLSkhyfiUSCF198kampKUKhkNxUmkwm4vE4b7zxBslkknQ6TSgU4vLly6jVaoLBILlcjsXFRXQ6HcFgkEwmw2uvvSaTJi5cuCDjmmq1mlAoxMTEhBwT2WyWWCxGMBjk5ZdfxuFwEIvFmJ+fJxwOk0wmeeqpp5ifn5dz5/Tp00xOTsr7LpfLFItFRkZGmJubu2WZRhRKBXaHgzqfD/XKJsRsNuFyuairqyMSDrMwPy/vUa/XMzVVzfAVZLwNfj96nY6F+QVUShXh5WX5zG+oTR9GPS6xO3zwwQf5y7/8S1mb9G7CYrFI379arZY1Qw888IBc/BcWFvjMZz5DuVzmmWeeYWRk5B0HalUqlXS9ATI5AKo7ZUGIKSbReleFXq9HqVReQS9lNBqraeorMTwBQY0l+vNavGUqlUq2TyzMbxcik2m1y271PRiNxpX4YAGdTremvSIT8Fp9rNPproiDCkYW0earcfapVCqMRuMV5Rir7/la9yU+n0wm5TXEOBLGVVzLarWSSqWuuosV9XCpVEq6va91/fV9sLp/3wkXnUKhkGNHxIPvu+8+vvjFL/K1r32NcDh8xT0IFzus38lX0Ov1a8bt6n5LpVJrnptKpUKj0axJs1YoFBgMBpRK5YaF1dcLlUqFXq8nnU5ftW+0Wq1MeII35e3tdjvRaJSxsbEbvv77CaVaxac//Wm6u7pRKZV885vfxOfz8bnHf4Fjx45x6uRJTp44CcAv/MIvMDAwwDe+8Q3y+Tx2u53bbruNj3zkI6TTaY4ePUq5XGZ0dFTW1tb0uFbQ0tJCoVDgr//6r2Um2buN1bViYmIajUYee+wx/vZv/5YLFy7I4sNsNsv4+PhN4RJcncywHquzna6Gq9VSXI0n8XoXw9VteyfGWQSEr4bV7Vx/L9dzXaHWuhriJH4tiNqUjTgar/VMBIQBFlmgAhvVHJbL5TW8gRth9XPeaINyLbydZ/pW2Eh7Sa1WYzQaZY3Pelyrreuf6dX6DTbud3E6fKcolUrXNFqwdrxptVpaWlp4/PHH+ZM/+ZMrvBK3EsqlEv/4ne/IRK9CocDIyAivHXuNUrlcTZahukm4ePEi0Wj0inkl3OQvvPDCmk3ZjeJDabhEYFi4894vZLNZnn76abRaLVu3biUWizE8PLzhg63h/UHtGby78Hg85HI5Tp48SUNDAwqF4i2N8AcVb2esiPT88fFxWS5zy6ICxcKVm4tS5k3jo1arOXDgAPl8XjKmwJteH+G9yWazN8VleuvXcW0AQad0M3eSN4JsNssLL7xALpejrq4Or9fL5OQkY2Njt6y/u4Ya3g5MJhOxWIyTJ09iMpneM8Lq9xsKhYJMJsPly5ff93XovYBKpaKvrw+1Ws3i4qL8vTBcIk56s/ChPHF9UCCYN9YHIWu7/Bp+XjAxMcHExMSGxMkfZqRSKcl9+fOAcrksE1WCwWoynIgDQ9UFns/nSBecTAABAABJREFUsVqtV3C03gg+lMkZNdRQQw01vHcQzCexWGxNjFOr1UqFBsEtuzqmWalUbig5o2a4aqihhhpquCZEpqparb7hmJ3ICG1tbSW9Uv6SyWRuyHB9KGNcNdRQQw013DzY7XYaGhro6em54TilkIf59//+3/OpT30Kr9d7w+2pxbhqqKGGGmq4JtbzuVosFhoaGojH4yQSibeUjoJqyUYsFmNubu4dZ5bWDFcNNdRQQw3XhHATQvXk5HQ62bp1K9PT08zPz1MoFKSQrlarlYwm6+NZQisOkKK5N4Ka4aqhhhpqqOGaENytSqVSyhZ99KMf5fjx41y4cEEyBgm199HRUaampjY8iVVW1B3eblxrNWoxrhpqqKGGGq6J+vp6Nm3axMGDB1GpVEQiEebm5njjjTcYGRkhmUzy5JNPotFoeOWVVwgEAhgMhqt+n8lkor6+/obbUztx1VBDDTXUcE3k83kKhQIGg0HySebzeVKplGTD0Ol0tLe3AxCNRq9KNVepVMhkMiwvL99we2onrhpqqKGGGq6JRCIh+SEFC4bgQhUk1dFolM7OTu68804ikcg1uUITicQ7Ks6uGa4aaqihhhpuCEKEF+Bv/uZv+Od//mfOnz/Pf/7P/5menp4NP3M1cdO3g5qr8F2CUJf9IHIS3oy2ie8QVD4fxPt8ryAm4geZSFWpVH6g2/de4p08L7Hg3oK8De8IdXV1NDU1UVdXJ9W2g8EgAwMDmEwmhoeH2b9//xpdQyFrIyDkaNxuN4VCgUAgcMOaXLe04RKFcFeT5ni/oNPpMBqNaDQaydv1XkCIX15LU0m0TavVriHDfDsQn8/n8+j1ekql0hp5D6VSuaZIUSyapVLpliMcVSqVaLVaqRclDLbw+atUKux2OwqF4j191tcLnU6HVqvFaDRuqIX1XkBowq1fyN4pRIq2TqdbM97F81nvqlIqldVnpVSQTCSvW6FBoVCg0+mw2WzE43HpHlsPjUYj71W0RxhIoRl3q0Kn00ntOqE1NzMzQ1dXF8vLyxgMBlpaWpiYmGBhYYELFy5ckVGoVCrRaDTk83mUSiUmk+mG23NLUz595CMfIZPJcOTIkfe7SRIqlYo9e/awc+dOvF4v3/jGN96znW4gEMBqtZJMJllcXLzCoCuVSvbs2cOuXbtoamri3//7f/+2dJsEHnjgAZqbm3nuuefYvn076XSap556CqhOXpPJxP79+6ULwel0sry8zOLiIkePHn3nN/oewuVy0dnZidvtRq1Wo1ar8Xg8nDhxgvHxcdxuN0888QQKhYJf//Vff7+bewX27t1Ld3c3/f39/Lf/9t/ekersjUCtVhMIBOjo6OCFF164qYt3U1MTgUCArVu3srS0JNWWLRYLZ86cWSMNr1KpsNpt/Lt/9+9QKpT85V/8hVQRfytYLBYGBgb49V//df7oj/6I4eFhKZ20Gj09PbS0tNDe3i6V0/V6PfF4nKmpKSmceCtCnDRXn1QVCoXcuObzeTQajUyZTyQSV90UiM21+PvPnZCkUqlkYGCAbDYrda7eb4iMmVAo9K4aLIVCQVtbG6VSiUwmw+LiolxYi8XihoNGyNyHQiE0Gs0NuTtUKhU+n4+2tjbOnTtHc3MzkUgEhUKB2+2mvb2dbdu2cfjwYZLJJMViEb1ez6ZNmwgEAreU4brvvvswGAxEIhHOnj0rd5ubN29Go9Hg8XiYnp4mkUhcFw2OmOh9fX3v2Xidm5vDaDSybdu2dxxXWA2z2YzdbsdgMDA8PHzN94pT6s3G0tISHo+Hnp4ezp49y8LCAplMhgMHDgDVsdrc3Ew2myWbzZJIJlkOhdCsKBVfLwSfXjAYpFgsXvWzc3NzaLVaHn/8cf7yL/+SoaEhVCoVW7duverpQig09/X1cfny5Q2FST8IEGvF6jVDiLyK3xWLRcrl8lsqAdyMdfGWNlylUklyaM3MzBCNRlEqlVgsFiqVCtlslnw+L90JWq2WdDot3VVGo1GKnKXTadmhBoMBrVaLRqMhlUqRz+cpl8tYLBay2SyVSgWTyUQikaBcLqPRaDCbzeTzeXK5nPxcqVSS7gOFQvGWqrpCetxsNkv59nQ6jdFoBKouUbPZLNV3e3t7SSQSBINBgsGgNFy5XE4OILVaLb9PFAmmUinp1hKfEfcjjN61Bl4qlSIWi1EsFmWFPEBbWxutra04XS6CwSCxWEy60/x+vzyBKRQKeZ+5XI5CoUA+n5e7tdVyCMLYms1mlEoluVxOPj+1Wo1er5f9YTAYSKfTFAoFTCaTdJmK9qlUKrRaLQaDgWw2SyaT2fA+lUolRqORnp4eisUiMzMzLCwskM/nUalU2Gw2KTefSCTIZrNoNBqgWp+iUChkppVGo5HjQafT4XA4GBgYIJlMUigU5O/FbjUajcpnZ7FY5Ngzm82SiUCtVqPVaimVSqRSKXkNjUYjFxJhJAuFwobjbvUYTyaTchyI3bMY42IsKZVKdDqdfFYNDQ3U1dVhMBiYm5uT80Kv18u2ie9dbbTEdYRbWxgBMV+gemoXBa9i87PRYpfJZCgWizgcDqkunkgkZEabTq+jp6eHSDRKOLxMYixBJpulXK5I3rxMJkM2m6VQKKDX69Hr9SgUCtnXFouFUqkk5++1Fl1BfeT3///Z++8oOa/rzBf+Vc6pu6q6uzrngG7kRIABJEEQkJhEShQlK5qSLMnWjD/ZY98Zj+3xvWNpzdx1vda159pjz4zlcJ2ubGVZFMUABhA5N4BG51xd3ZVzru+Pt85hN4hIgkniXqsXie4K73vec87eZ+9nP4+PVCqF3+9HrVbT2dkp56x4zjqdTs4bp9PJ+vXricaiFIoF0qn0G8ZAjI3FYpHjYTAYSKVSbyprcrts9Xi8k7Xu97XjSiQSBINBTCaTXAgmk4nt27dTLpcZHR1lcXGRmpoaWlpa8Pl8XLhwgYmJCVQqFT09PdTW1pJMJrlw4YJc4F1dXXJhHjt2jKWlJdLpNJs3b2ZycpJCocCmTZs4fPgwmUyG2tpadu7cKXO7nZ2dJBIJZmdn8Xg8+Hw+VCoVR48eve792Gw2vF4vO3fuZGVlhUAgwKlTp+jt7UWlUjE2NsaWLVvI5XIEg0E+9rGPcfHiRY4ePcro6Chmsxmj0UgoFKJSqWAwGHC73ezYsYOVlRXOnz9PZ2cn+XyeyclJKpUKTqcTj8fDhg0bOHz4MCsrK5TL5Wvm/0ulEt///vclS/Tw8LB0dB998mMEg0G+/c/fJhKJyElcKpc4efqUdFxarVbep8iJLyws0NTUhMlkwmg0YrVa0Wq1ZLNZjh07xubNmzGbzYyNjTE7O4tarcbhcNDb20smkyGdTjM4OMjp06dZWlpi27ZtFItFeVoC5ZTQ3NxMf38/ExMTnD9//qqpIovFwtDQEF6vl4mJCY4fP77m/s+fP4/JZJLOCl6PRPv6+tBqtUSjUWKxGF6vl4aGBk6cOEFjYyPd3d089NBDqFQqTp06JZWB6+vraWlp4ZlnniGTyaDX69m+fTtLS0skk0l2797N2bNnCYfDOJ1OmpubiUajnDx5kvr6eurr66mrq2Nqako6t87OTpaWlq7aCNrZ2Snn+OHDh/F6vdTU1BCNRpmfn6dcLrNx40amp6dlyqu9vZ1AIMDExAQPP/wwLpeLcrlMIBBgenqaXC5Hb28vPp+PeDzO8ePHsdvt0uFVKhUcDgc1NTXY7XZZBy6Xy5w+fVqeNrxeLz6fj5aWFo4dO0YkErlm0CeUdcUGWiqVOH7yBJVKBbfHw8c+/iRTU1OMj4+TSCaVQFKnpaamhsHBQYLBICMjI6ysrNDc3Ex3dzdarZZz584RjUa56667iMfjOJ3OG2YoKpUKpXKJYrlEhQpqjRqD3sCJEyekc/F4PHIvunz5Mk6nk6amJh5++GFK5TJnzp7h9KlTuL0eGhoaaG9v5/ix4yTicUqlElu2bJGs6m1tbZw6deqqacufd3tfO66Wlhb0er1UGW5qamLz5s0EAgFMJhMPPPAAp0+fRqvV4nA4ZIRmsVj48Ic/zMWLFwkGgzz11FP4/X5sNhs7d+5kdHRURoA1NTUyMnzssce4cOECgUCAcrlMY2OjskDcboLBIIlEArPZTEdHB7Ozs8RiMVpaWti5c+d1HZdarWbr1q1oNBrK5TLDw8N0dXXJ2tADDzyA0Wjk9OnTVCoVEokEsViMfD7PwsICY2NjdHZ2snfvXhwOB4cOHcLn8+FyuXC73YRCIeLxuLy2S5cuMT8/T19fH2azGavVisFgoK2tjaGhIe666y7+1//6XywuLq7R1hGWy+XkSSCVSkm5gtaWFjKZDHNzc5TKr0deqlVgBpVKxUMPPYTJZOLIkSM8/fTTjI+P89d//deyPlBfX8+//uu/snPnTpqamqitrSUSiaDX6/n1X/91vvnNbxKJRDAajTz11FNcvHiRY8eO4fP5ZLR74sQJ9u7dS6lUYmVlhZaWFsmNZrPZ6O3tpaamhhdffPENUaLZbKa3t5dQKMTKysqav4m0V6FQuKrTczgcuFwumpqaePbZZ3E6nWzbto2ZmRmJtopEIoyNjbGysiLTWjabDbvdzl133cXMzAyLi4s8/vjjnDlzhkuXLhGPx3nkkUdQqVT85Cc/obm5maamJiwWCydOnKCrq4vdu3fj9/sJBoNUKhU8Hg+Li4vyxAmKU9i4cSOzs7PMz88TDAZRq9VYrVbcbjcul4uFhQUKhQIdHR1MTk5itVq56667ePbZZymVSrS2trKwsEC8uplOT0/T3NyM0+kkn88TjUax2+185jOf4aWXXqKnp4e9e/dy9OhR3G43/f39bNu2jaNHj5JMJnn44YfJ5/PMzc1RLpfZvHkzsViMkydP8iu/8iu8+OKLPP/889fdC7Zs2UJPTw+lUolSRQlaA4EAKysrjI+Pc/nyZUKhEIVCAavVitfrJRQK0dbWxqOPPsrv/d7vkUqlSCQSPPLIIywtLRGPx/H5fExNTd00sEStUoBJW7ZupbGpibaWVl566SUWFxcJh8M89dRTjIyM8NprrzE4OEg4HGZmZoZIJMLo6Cjz8/M0+Hxs2rSJVCrFsWPH+MIvP83Jkyc5cuQIH//4xxkfH2d2dpZsNvu2pGDfD/a+dlx6vZ6lpSWCwSAdHR00NDTgcrlkuiUajcpaRFNTE6dPn0an09HQ0EBzc7Nc1MFgUEZ/Xq+XM2fOUFNTg9PpJJvNksvlMBgMeL1eRkZGSKfTRCIRWlpaKJVKLC8vk0qlZHrB4/EQCARkakmr06G+Rl5cpVahN+jp7ukmEAiw5F/CZrMBSvRYLBZxupwSxReJREgkEjJNFYvFiEajUhZdRNcdHR1YLBaWl5clRLVQKOBwOKhUKqRSKe644w4SiYTchLPZLCqVimAwKB3T1Wx1KlG8RqPRoNPrZeqVSlV/R6ulsakRj8ejRLJnzq4Bjfh8PlkjExxmJpOJcDgsx89isTAzM4Ner6exsRGj0Sjz67W1teh0OuLxOLFYjLq6OvR6PaFQiFKphNFopLa2ViIaRarKbrej0WhQqVTU1tZit9vR6XSyUCyc3Oox0Ov1WCwW+vr6SKfTxONxpqam1j7PahrUYDDIFJtAYWazWZl6Fg2d2WwWjUZDpaKkr+rq6giHw5TLZZxOJ2q1mmQyKU9dZrOZaDRKPB7HZrPR0tLC0aNHSafTpFIpvF6vfL4iUyDmhEqlwm6309vby9jYGOl0WqZkBTJscHAQu91OLpcjlUqRyWSwWq20t7fjdruJRqPyPtRqNaVq8NLY1EhTUxOTk5OUSmXUGg0arUYZc50Oj9eDSq2iUr0Oq9VKNpslGouCSnH4xWIRg9Eo5S5E6vhmLJfLycBUbzRIJF82myWZTEoF3nK5TLmaYg0EAjQ1NdHa2opGo5EaUW63G4vFIiXnVzv+G1mF12s/mXRGpqMFBL+2thafz8fS0pIcY1EWSCQTlEolent78Xq9hMNhZQyq86NcLuNyuaT4YiQSed+hdG+Xva8dV7lc5tSpUxQKBTZs2EB7ezvz8/PU1tbi9/t55plnaGxsZP369dxzzz385Cc/we1209LSgs1mo6uri4WFBf7pn/6JhoYGucGFQiHa29vp7u7m299W0l4C9TI5OcmJEyeIRqP8b//b/0YikeCnP/2pvCZjdeGp1WrpOBf9i4rjUqHM7FWm1emwWK0MrV9P4LnnmJya5MmPPUk0GmUpsMTC4gK5fJ5MJsvJkyeJRCKYzWYaGhoIBAJEIhFJnyLqMAA7d+6kUCisuTax8YIiMXDgwAFee+01JiYmiEQiTExMEAqFeOmll275WYjaCCgpuXw2p2zaJhO7d+/m/vvvx2Kx8Jtf/w2OHDmCyWSiu7sbnU4nF7VAHmo0GmZnZ2VKd2Vlhbm5OVnzE8ASccoNBAKMj4/LFJ/ZbGZmZobx8XE8Hg/19fUcO3YMlUpFY2Mj5XIZs9ksN8W+vj7WrVuH3W7n7NmzZDIZkskkXq93TVHdarXS0tLC1772Nebn57l06RLT09NrxkHU7ITjE5unYMYWaa1isUg0GuXEiRO0tLTItKPNZpNp2GQyydzcHBcvXiSXy/Hggw+iVquZmJiQ9Drr169Ho9EwPz/Pa6+9xubNm3G73czPz/Pyyy9jNBppaWlR5lo187Bu3Tr+4R/+YU2KKRwOEwwGefLJJzlz5gyJRIILFy4QiUSoq6ujsbGRu+++mxMnTnDo0CEaGhooFIuUK2WKpSK9vb30DwwQqyrcZrNZTp0+jT+wRCKZkAFAKpUksLJMYGWZhcUF/H4/54eHMZiMtHd2yGBQVW1sPXr0KLOzszecf8PDw8zMzBCPx+kb6CcSiVCptmCIulyleg3pdIaJiQnm5+dpbGyUdd1YLEalUkGr1WI2mzEYDITDYZLJpHTwN7JKpUwul2P4/HnOnz/PeVeNnBfK/afo7++np6eHv/iLvyCZTMqUa7Fam73jjjtkfVStVnPi+HHGxsYUgEkiwaVLlzh06NANa+a3224Eungn7X3tuKxWK4899hj/1//1f9HU1ITT6eQv/uIv5OagUqmYmZnh4MGDLC8v8+STT0rQxpEjR7h48SKhUAitVsuePXvQ6/WMjo7S09Mj61/idCCIJcPhMPF4fE3/DihOQZwOAoEAs7OzLC4ucuDAARLxOMFr8HIJuLXf70cFtLW3c9999/G9730Pv9+PvlqczWayMhJ3uVz09vYyNTVFJBLBYDAwNDREIpEgFArJfpXVBWEBTBD3YzKZMBgMTExMcOjQIQlceSuNqq++8ipmi5mHHnqIf/qHf1Si3VSS5557jsbGRtpaWwkGg3zhC19Aq9XyN3/zN6ysrJBOp9+g9wOvn+xWN31eeW1Xvn61CdCGSqViz549EigwPj6O1+ultrYWgFOnTjE8PCzBHxqNhoWFBfbs2QMoziSZTEr+tUuXLjEzM8PExIT8zisbU/V6/RuuczWkGJQ2AUFamsvlOH/+POvXr7+psb4SQCMQdZ/5zGfQarUsLy+TrNZ0hGk0Gux2Ox0dHZhMJvmsRd9TIpEgHA6zbt06DAYDP/rRj3A4HExPT/Prv/7rPPzww/T19dHS0sLi4iJKLKbci0arpVAocObMGVaWlxVQR6VCPpdTXiGe0+pnrFK9/vtVtrKywvjYGGfPnAW4LmRdjKtI55fLZcbHx3G5XHR1d6/5u3y9+o3zTFg+n+fgwYMMDAzQ2dnJj370IxKJBA6H46aQiCqqn61Skc/nJfLRYrFgMBj49re/jdfrpampid/6rd/iu9/9LtPT08p18frnB4NBJiYmOH3qFFSQwZBwHu+0A3G5XNhsNhwOB+Pj47e9J+9W7X3tuNLpNC0tLXR1dcmIaMOGDUSjUYku2rlzp0SeBYNBCeLo6uoin89jsViIRCISWdfS0sLY2Jjs8hbOy263s7KyQjablYu9XC5jt9vZvHkz8XhcproCgQCxWIxyuYzX6yUai5FMpt5w2gJQVUCjVuN2u6mtrSWVSsmTkdPhVFBxqRSJ+OtRq9FopKa2Vnmd1YLZYsbX6MNoNBGPx6opGaWfZdPmTcTjCQoF5TRkMBoxmc1YrFa0Oi1NzU309vWSzeaYm5vD6XKydctWjh07JlGBN2snT56kubmJhgYfGzduJBwOk06n8dR50VdRVKJuaLfbaW9vR6fTydNvU1MTXq8Xl8uFyWTC4XDgdrtJp9M4HA6sVis2mw2PxyPlw202GxaLBavVSkNDA263WzbcihrfaiRorbuWYqkkT2Jms5l0Oi0deqVSQaPREAqFOHP2DGq1ml27dzE9NS3TelarFZVKRaFQoKamBofDgc1mk0AfgO7uboaGhmhtbcVut9PY2LgG8djU1AQoAURDQwPZbJa5uTl8Ph/BYBCv14vNZsPlcuHxeCgUCtjtdiwWiwTxeL1enE6nRJ4J2LYAhoggp76hHofTgdFoJJ/PMzMzw5133cXycoBwOMJ8FdKfz+cZn5igVCpKJ24wGLA77ArCsVCgWCqSSWeIRqPUumtxu93U19UTWApgNBi4+667mJ2dJRwOs7y8XB2jWqwWKw6HA4/bTUN9PS6nC4vZjMVsxuvxYNDrSaXSjF6+zLp16zAZjWg0GuLxOP5F/xtqjQBOlwu3x4PT5aKrqwudXkcwGKS+vr4KhlARCUfwuD1UeirEYzFcLhdGo5G6+noSiQQ2uw2rzYbb46ZQLFKsBiY7d+7EbrfLQFDA/+vr64nFYle9Ho/XQ2tbKzabjbbWVuKxGKVSmXXr1hGJRLh48SIdnR2o1RqSqRSpdIpMNkOhWMBitdDU3MSi38/ly5cZGBjAbDajQkU8HiccDlMsKvW5uro66uvrmZiYuOm1+VZNIJ6F83y37X3tuEKhkISFC3jz/fffz9zcHDMzM5w9e5aHH36YWCzG8PAwFy5ckJQjH/rQhzCbzUxNTXH69Gmy2SwOh4Oenh6pL1Mul/F4PBJVNT8/L/PdApjgdrvZtWsXly9fliecubk5YrGYRL5VKsqiuZoVi0WymSxet4elmlqCK0Hi8TgmkwmPx4NOpyMaiRIOh+V7tDotZosZp9OJ3eHAZDZTU1uLWq0mm1M24GQqhdVm445duxgbGyMWiykbr1aDwWjAbDGTLxTo7OrCYDQqtcJQkLq6Oj7+8Y8zMzMjYcI3a8eOHiWZSNDoa2Tbtm0sLi6yvLxMa2srep2eeCwuo0WLxcL69eul+Fx/fz91dXV4PB6sVismkwm73U5NTQ2ZTAan04nVapU1y9XQaaPRiM1mw+fzUVOjpGYsFgsOh4Pa2lry+Tx+vx+dXkdzSwuRaJS6+noaGhpkG8NqSHGpVCIej/Pss8/S19/PPXv2YLWckC0ADodDBi4ejwez2YzJZKKuro5oNEqxWKS7u5utW7fidDoxm800NzczOzsrT0HNzc2oVCqy2Sx1dXVSYK+hoUFuvnq9HqfTSUNDA6VSSdZhnU7nmrEyGAxoNBpKpRJzc3MsLCzIdocady119fUYqyfsRCLB8ePH2bt3L9FYlImJCQ6+kKVYLJLJZLhw8QJOp5NkWgHl6PV66rx1DK4fIhKJEIvGiFSd0sDAAK0trTQ2NjI1OUk+l+NTn/oUExMTTE9Pc/bsWVKpFDUuF1qNBpfThdfjpaG+AZvVitlkxmK2UFtTi16nJ52a4eSJk3z4Qx+mq6ubpuZmpqenOX7s+FUdhdtdi8frwWQ20d3bg9mq1HQ3b9zE+Pg44+PjLMzP09bWhtfjYXZuFrvdjtFopL6hnlA4hMVqRafX4fF6FZTyioIy7O/vx2g0EovFcDgcWCwWKcVxLYaUBp+Pjs5OdDod7R0dlKro3LvuvotLly5x6vQptm7bRiAQYGpqiouXLrEUCJDJZtHqdLS0tpLJZjlx4gQPPvggfX19NDY2Mj09zejoqDKHV9Xs30nHtbp1AV4HKa2u34kMx+rXCOCWIOWtVCry9Ct+92bsfc2cIdJfYgBFZLSalsXlcsnCvNiEtVottbW1xONxcrkcpVJJ9pZoNBoJRxZd76K3SNQpVvd7icJ6LpeT/UcCVCE26GKxKH+uNDEBRM+OQD1ls8pmIh66qIsA6PQ6DEaj/MxyqYTVZlPuuQq0MFavDSAvmgSrzY4F8T02m5xwmSqwRKPRYLPaJGLsVk3QuqhUKgnPF6CVQqFALpfDYrHIcROciQIuLSa1AFKI14nGT4PBsAY4ImhoCoWCrAmI94t/ixSjTq/DbLGQiMfRaZW+p2g0eu0Of41akogaDUbZKxWPx8nn85LWR9SzRA+VwWDAbrfLIEetVsvnCQoQQZw+BdOD6CW0WCwSKKPX62U/GLyefhT9eGJeihOlTqfj0Ucf5cKFC1y+fJlyuYxGq5HUSPlcXp4oLTbr6+ui+nuDwcBd99zN5OQky8vLJGJx+TxNFrMCPc8X5HwSvWCCNVxkKdRqNcViUSJSRbSeyWTW9OmJlL5er5fPqFgsKg5ar0Or05GoruVy6Y3pa7VGLfeAYqmkbITlMhr162tG9J+p1WqSqaQyhioVpeq4rk6hl0tKWlmcaDQaDSdOnJD3IOZaqVS66tpQa9Syx07cm6iZiRYTs8Ui52Wq2qMGYK/OiWKxSKlYVNot9HplfKsBU6VSwWgwyv3lneQHbW5uxuFQTu0jIyPo9Xra2tpIJBLU1tbi9Xq5fPkygUBANtbX1NRQV1fH5s2bGRkZIRKJEI/H6erqkvN9eHj4TTFnvK8dlzCxuQtE1+oeJIEMWl0fUalUayaXsNWRw2oi2msRa15Jg3I18s6brRmtjkpW///V3q9SqVBr1JRKZahek0aroVxaFcGoVNUSgkpZ9KrX769SrkY+VVQdQEk4VRVo1Jrbsij0VZShCCJW14PktVyBTnw7TSn4ayQsX626eaJhUSdUq9XXbFyW31Nt/F792avvb/XzhdfnqNhIr1bLu5GJU9jAwADDw8M3ZLPQVL+zXC5BRQnCXC4XD+zbx6FDrzI9NS03VQUdqoHK63VDeD0KX32fq4O8tzKHNBoNao2GwnWkMW7Wrnad13qd2WzmQx/6EOPj48zNzV31pPdWTKVWyXmUz71+b2qNhkq5TIWKUlJQgVqtQavVKKCnd3mXXr9+PT6fD7fbzTPPPIPD4ZDyJel0mnw+z8aNGzl48CDnzp2joaEBm80mswGARGM//YUvEItFuXjhIs8999ybclw/F00AInItl8trKEgAGZlc2eEtGAFW2+oNY/XCu1Yx9EqHeLUN52Y3oNUkoav//2rvr1QqlIol6bQASsUrSHUrFSrlyuuRagX5b/nZpZISea4+CVa4bZGcQAGK09Tq6xeku1emF95Oq1RPDGIsbuU+xSkonU7fVCOqCIqudn9XEiCvjp6vnKs3a3a7nebm5ptO75aqJ3WxIYqaotVigQprsgOVSoViofgGBgvxDFebODW91TlUKpVui9MS13Qz16PRaDCZTPT39wPcdqcFyrwrFoprnBYoa7FSqbzuoCrK7/K5d99pAbLe39bWJmvw7e3tNDc3o9PpiEQi7Nixg8bGRgwGA93d3dTU1FAulyUiUgSrW7ZuobOrC73R8Kav531d4/rAPrAPTDGRjjt8+PBVm8ZvZIKG6KWXXnpPsty/EybSr0eOHHnTygk/r7aysiL7+USf4Pz8PNPT07K1YGlpiUqlgs/n45d+6Zf4b//tv3HmzBlAUUQW9a5gMMi5c+f41x//+E1fzweO6wP7wH4OTDSar+b8uxUTKZ9bbbj9eTLB+nH69GlZt/vAFLuyVWX1v6/MpgjAVU1NDS6XSxIMiL9XKhWlp+4tnCQ/cFwf2Af2HrG30uCZSqXe1ElLmGBQ/0U2Abr4RT1xXs9MJhMWi0UCcgwGAxaLRQKwBChF9IeGQiEaGhro6+uTCGVR5xbvNxgN5LJvjvnjA8f1gd02Ww0yeLMmivvvFOP16ubUd1PFWaRR3g2m79XR89tdb7xZoMQH9t6ylpYWBgYGaGtro76+HofDofTOVdGiiUSC+vp6Ojs7icfj/NM//RNPPvkkjz32GGfOnOHcuXNEIhGy2axCPO3z0dLaytjl0Td1PT8XqML3m4lNamhoiGg0+ga+u7fbbDYbTqeTtrY2qWzqdDo5deoUfr//lnSiVCqVZLeem5tjamqK4eHhN3Vdzc3N7N69m40bN/K7v/u7b6tirLjnr33ta7z66qucPn36batrqNVqent7JWeeGF+Bbn3ssccwmUwsLCzwyiuv3PTJx2KxUF9fz7p16yiXyyQSCV577bWbHjeTyURNTQ1f/vKXOXbsGMeOHXvbxkClUtHZ2cldd91FZ2cnv//7v39d52UwGLDZbGzbtk0yiwhORuHc29ra0Gq1hMNhyU/6dpvoq+vu7qZcLjMzM8PU1BSpVOqap2WNRoPb7ZZs7u9HJWSn0ylPXEtLS2g0Gmpra9dwWgp4vBgLj8eD0Wgkk8lI1plKpUJTc7OiC1gldPiFE5K8WTMYDFKb6Mpm03fLVCoVDofjDfLit2KrtX0ikchNvcfj8UgW8NUITK1Wi9vtplAo3LLAoSCtrampeUtpFqGv1t7e/rZ354tcvM/nw+FwvIGi6XaaIJUtlUpvcEqi109ovd0K27c43XZ3dxOPx285VSjqDQ0NDZKB4+000Vd5M89XXFtdXZ0kGr7SMYiG7GQy+Y6xOQjdN8F2EggEbpjeFdpoLpfrfcvmHo1G37AvXCl6efny5TX/Fs9FZFDEOI1cuvSWr+fn2nGJmoHQLwqFQlLi4+3+zpt53ZXd6Kv/Bm/sG7vy8wXNkd1u59ixYzeMODUaDZs2baK+vh6DwcBf/uVfSgb1np4eOjo60Ol0jI+P38ytymtJpVKMj49Lva2buY+r2eLiIqFQ6G3lQRPXnM/nFTohv1+CEa737N4qwejVnrW4jpmZGWqrzCe3YkImRdCUKczsN5+Cy2YV/ku/3y+pqm5l/t5ofl5pMzMzrKys3NTzzefzxGIx2fMmIvsreyRXcxC+ExaPx8lkMpKFJJPJSGkfYVeOwdV4OK/2uqvZe4nY9lZttUba7bb3tePq7+/H5/OxuLjI/Pw8iUQClUrFxo0bqampwWQycerUKTZv3sy+ffs4e/Ysw8PDTE9Po1araW9vx2g0Sm2im0nR9Pb24na70Wg0nDlzRjrB/v5+XC4XDoeDQCAgxQ1nZ2fp7u7G7Xaj1Wo5c+YM2WwWp9Mpi8GCtVwUOoV6byqV4vz584BCctnX1yf1ki5dusRHP/pR3G43KpWKRCLB3NzcNZ2y4Nj71Kc+xfPPP88///M/ywmVy+UYGRlhYWEBh8PBnj170Gg0LC0tMTo6yh133EGxWCSRSDA8PIzP56O+vp729nZOnz4NvNE5WSwWKZBYLBYZHx8nFApRU1NDT0+PZDkfGhoiHo8zMjIiWSzUajUdHR24XC60Wi0nTpyQTBWgiCCKsR4ZGSEWi5FMJjGaTHR1d+H1esmmM0xOTspnMzc3h8ViobW1ldHR0TUbqNliwdfUyPoNGxi9fFmqN4OSVm1oaKCzs5O5uTkuX76MRqOhra0Nl8vFxMSEFI88e/YsDocDu92O2+3m8OHDkt9QMHAI0luzWaHsGhgYYNu2bVQqFck0r9PpMJlMbNu2TfLUXY/eRzCHCCJWoWE2PT0thRHPnj1LvMrcjgp8DT7q6upobW2lta2V0fExdAZFvDIej5NOp0kkk3R2dlAoFJicmCSZTEqx1t27d1MoFKRulqCn2rhxI0tLS4RCIebn5wGFSFrIh/T399/SyU6skdVZktXEuYLRYmBgQIIFzpw5I7kj7Xa7nFsdHR14vV5SqRRnzpyRfJbid0KUcnx8/LrOQrBgiF49nU5Hb3+fwp6jUtHZocyVYDAodf70er10eE1NTdTV1XHp0iWph9fQ0MD58+fJ5XK0t7dLORlBMSVS+ufPn5eSSxaLhfPnz0vh2F8ke187LpPJRCKRYPv27ZRKJanXJOTaheS9mORiQapUKu644w65QXk8HpaWlq77XXq9ng0bNkgamQ0bNkjuMIPBQHt7O6VSiUQiwZ133snFixeZmJhg69atkhFhw4YNclHr9Xr6+/vR6XRcvnyZ+vp6mbaamJigra0NgPn5eYVw1+mUDNVi81gtJZJcRR9zNRO6VIJZZPUxf/UJRES4/f39aDQaRkdHpeheMBiku7tb0loJ3r3Vkg9qtRq9Xs+OHTvIZDJEIhFZE2hoaGBhYYGBgQH0ej0rKyvo9XpaWlpob2/nu9/9rtzgRUOszWZj69atDA8PS7HQmpoaKpUKoVCIO+64g8nJScbHxxlcP0SlUiGbyUq9Lb1ez+Dg4BoGj3vuuYdLly4xMjKizCOzSZFoL5fYtGkT0WiUZ599lqamJmw2m9wERWpubm6Ozs5OOjo6SCaTmM1m7HY7+/btY2pqCpPJREtLC8vLy5Jwua2tjeXlZSqVCtFolK6uLmw2G4FAgFQqJR2aRqOhpqaG9vZ2QqEQjY2NtLa2srS0JGmirrTVje8iIOvr6yOTychAaPfu3bz66qtkshlq3W589Q2oVCqWlpYorXpvTU0NNptC+RUMh2hpbVXEOJdXKJVK2O12qRkmkGarA41AIEB3dzd1dXVEIhFaW1vlvYlg4VZPR9ciAGhoaFAozKpUYo2NjWzatImzZ8+i0+mwWCyoVCpJWGwymVCpFE2yHTt2MD09TUtLC7t37+bUqVMkEomblgpZfU1arZaBgQEymYykllu/fj2RSETuEV6vl/Xr10utv97eXhYWFsjn83I/mp+fJ5lMsm7dOklxplar5am6p6eHs2fPygbgd4sp/r1g78+Ea9V0Oh0LCwvs2rWL1tZWfD4fu3btkqePSCRCPp8nk8lIpdHl5WVKpRJ79+6lWCwyPz9PTU3NG9JcV5rBYODuu++WvGYbN26kubkZn89HR0cHnVVyzampKe6//34aGxvJ5/PcfffdGI3GNe8Rcijbt2+nuyq9IIrsW7ZsIR6P09TUxIYNG2hoaKCrq4vW1lYcDgfJZJJCoYDZbGZlZYVAIKAIUFZlLa5lJpMJr9crmdCvllYsFAqSlqWrW2FrF6nWYrFIOBxm69at2Gw2qd9VKpXWRNBC2mXv3r24XC7GJ8ZRqVSsX7+eO++8k3w+T39/Pxs2bMBqtZJKpWTDotlslrx6gjfSbrfzwAMPUFtbi82uKFQL4t3R0VHuvfdeNm3ahNfr5e6778ZqtRIKK4FBuVzGaDSybt062trbsVgsLC0tsW/fPrZu3UptbS0qlQqT0YTJZGJ5eZmdd+xk7969ALS3t9Pa2orVapVEuRs2bECj0dDV1cXOnTvxer2USiVMJhMff+opamtr5VgPDQ3h8/nQaDT09vbS0tKCx+OhtraW9evX09nZyfDwMIuLizKQ0Ol0tLe3s3v3biYnJ3E6nWzfvh2HwyGhyIKfU9iVG1dnZye7du3C6/VK/skPf/jDOF1ObDYb/f39NDY2ksvlOHfuHOmUAngQnJniRJ1KJmluaqK9rU0Cepqbm+nv75enVsFxODQ0xNDQECMjI3R1dbF+/Xrsdju7d++ms7OTVCrFhQsXbgvUXNxva2srXV1deDwewuEwRqORHTt2yLmt1+uJxWI0NDTIYCmdTmMwGLj33nux2Wy0trbyoQ99iPr6eumEb9W0Wi2Dg4MMDg7S2tKK3+9n8+bN7Nq1S87jhoYGqXbtdDrp6emRgp3ZbJa77roLl8slNeW2bt1KR0cHlUqFlZUVXC4XO3bskM9Jq9XesnrDz5O9r09cGzduxOfz8eKLL6LRaKRURDqdZnl5Gb/fL8kcRWFcIFvi8Tgf/ehHCQQCfPvb375h3j2ZTPJnf/ZnNDU10dHRQTqdxmq1UqlUpBBcOp2WaStRP/nTP/1Tmpub6ejoIJPJYKmSbE5PT0uy2EqlwuLiolRcvnz5MnV1dTQ3N9PaqiwEl8vFpz/9ab73ve+RSqVYWVlZQxx8Ja3SlSYIVYVkyDXvM5Xk4qWLCkmu1YLVbiMYDkmRPRGpzs3Nyfd4vV7a29sBJS20YcMGkukU6UyaTCbDwZdfYtuO7fT19fGnf/anROMxEskEp8+clvpIO+7YidlqQa3VkMqkuXDxAqNjozQ1N3PH7l0YTUYMRgMPPfIwf/iHf8jk9BS5Qp7zF4bR6LRs2baV8fFx9uzZg8vl4m//9m/JZDMYc0aC4RCXRi4xMz3Dkt/PwYMHSSQStLe3o1arWViY59y5c8zPzfGhAwcwVU/qhw8fxm6309DQQHtnh+JYdVoy2QzRWJSlQIDjJ0+Qy2bp7u7mI088ztj4GJFIhGg8xo4dO1hc8lMsFVlc8pNMpTBbLTzy6CMsr6ywMD9PhQqRSESmvYaGhujq6qKuro4HHniAXC7Ha6+9hkql4sEHH6SxsRGAn/70pywuLq4BZFQqFTKZDPF4nOXlZU6ePEk6naatvY1PfuqX0Ol0tLS08OlPf5pvfOMbzM/PUyqXCIVDkn8xlU6h0WkpV7tDU1WNNtQq9u57gEQiwcjoZZKpJCOXRzBOG9m0aROtra24XC7279/P5OSk1I7bunUrp06dYnJyUq6R29EvVi6XWVlZkfM/nU4zPz/PmTNnGBwclGn3l156iS984QsMDQ3x4osvKusgn+fFlw4yMztDc0szy8EVfvTjHymp6vKtnWAEAbSozy4uLnLp0iXm5uYkcnVlZUUqWcDrAeJqYmGh3pzNZvH7/SwsLDA9Pc3w8DDFYpHR0VGOHj3Kpk2bJCnzmTNnfmHbCt7XjmtpaYlLly5RqVSora2lrq6Ouro6qZB7JUGugKFnMhlefvll6urqMJvNPPzww3z729++brrQaDSyb98+mdoJBoOSAXt5eZnu7m5aW1tJJpM8//zzUqV23759LC8vS2cjrulqnIbiZzX782q5iv/v//v/aGlpobe3l2g0ekvRYSaTIRAIkM/nZd3G7/eveU1jY6PiRP2LjE9MoNVquf/++5mfnycai6LVamloaJApWEEsfLWFbrFYJFJPSJML51qpVCiv6vcqVP8uUmEqqnx+KIt89X0Khni9TkemGpCIBb+0tES5XKauro4DBw4oEiPVOoRSK1G49kSDpDgxrObXK4vUi0rR1BK1hEAgQE1Njaw/VoAKVVXjK7gGi1W2e7Vajbo6PuUqgapKpcJgNCpSKGIcK2U5P7VardT6unz5skTBxmIxLly4IAOGYDAoZXSuJC0WP2JsiqtJcDUamT406PUUrwh4ytUao0z/riJGFqk2IR0j5utqEtWLFy/K1HMul5MaYrcK1FltVwIbhLSHYJUXn7uyssKZM2fYuHEjsVhMSYNWlR/UarWsAWezWTK5rOQrLZVKitZY4dbQxquv6fU5VpJclOKZXinfIeaDpkpyvfoexH9FzVI4ZrHXbd68mZWVFRYXF39hnRa8z1OFwhkItddKpSIFGV0uF1arVaYAS6WS1HlSqVSMj48zNjZGNBpl165d2Gy2636X0Wjknnvuoa6uDlDQRUKuYHFxEbvdTmtrK319fZw/f55AIIDJZGLPnj3U19fLU56o3xgMBrRarfwxGAySTV3wzom0kJDfeO6553A4HDQ1NVFfXy8nv0ghXc+RZbNZuVnr9XpaW1ulKqvRaMThcODz+fB4PQCMj41RLBbZsWMHy4GAlHcRsF6Px4PNZsNoNMrCsXBUoghtMpkwm81YLBYy6TShqlS8SqVCp9VitVqxWK2Aoq1WKhZRAVqdTgIZRA1N1N7C4TAOhwOny4Veb5A9PtFIlFQyxcjICBcvXmT79u3U1taiqT5/o9GI2WyRUjTpdJpgMFj9Hv2asddqtej0eto72l8PSBJJqcsmnolWq0Wve/0ZyfdWWQTEazQaDfrq89RqtWQyGUUQ0+1W9KEMRvmsVzPpB4NBlpeXWVlZIZVKcfnyZY4fP86JEycIhUJSykXMFZPJtGZO6fV6dHodulX3JUA/9fX1eL1eZY1otPL78/k8er0em82G1WpVPkOrw2hQ2kmMRiPNTU24XC7sdjtms1kCZwqFgrzmcDgsVRpE6lTMt9VyRNcyEWSK+Wk0GjGZTFJcUwRQgoVBzKGLFy/K+qHIEgiy51wuRzgcZiUYJBwOS8kWtVqNrurcbmQiTbd6zivzoLpedXrp+MUzuLKmJwKK1WMo7lV8pvhcYUIRuaenB6PRSCKRuOG1/jzbLZ+4Xn75Zf7P//P/5OTJk/j9fr773e/y2GOPyb9/7nOf46//+q/XvOfBBx/kmWeekf8Oh8N87Wtf44c//CFqtZonnniC//v//r+xVjexm7VHH32URx99lJWVFX74wx8yOTmJ1Wrlq1/9KtFolJmZGb7//e+TyWSYm5vj4Ycf5siRI0xOTvLZz36W06dPE4vFOHLkyA0nglgAmzdvlkCQ+vp6gsEgtbW1tLa2yr6ouro6jh49KtOBmzdvplgsyvcsLS2h0+loaGhgaWmJ1tZWNmzYQEdHhwRitLW10d/fTzwel8rI2WyWlZUVpqammJqawmq10tPTw6ZNm7h06ZJE7l3L8vk8f/iHf8hdd93FY489RktLC8FgELVazT333MOxY8cU9FoFjh09hgoV/b19BFeCikKuOc9Pf/pT9uzZwyOPPMLZs2c5duwYer2e9evXo1arOX36NBcuXOCBcITmpmb2P7gfm83G5MQkh187DBXQa3W0NLfwqV/6FIlEguXlZf7bH/8J7lo3Lc0tNDb46OzolCjAhrp6vB5F7+fP/+y/s3//fvp6ejl9+jQ2i5XRkcucPnWKX/3VX2V6epp4IsHJkydZXl6W4JX777+fSDjM9NQ0R44ckbXO5uZm+qNRSmWFlV3IMfT19aHVaHG5XAwNDWE2myVQ4tArr9Le2kZzYxMD/f0Ui0Xa29vxuj34Gny4nC42bdhIV0cny0sBPB4PvT29pDMZlvx+/uVf/oWvfvWr3LlrN22tbdIZGgwGXnjhBWpra/H5fPze7/0eiUQCv9/P//gf/2ONhhcgazStra2YTCbS6TQvvfQSPp8Pn8/H4OAg0WiUxqZGfPUNNDU2MT8/z9/+9d/whS98gXAkzMilERp9PgqFPDqNlkOvvcZ9e+6ls7MTi8nMQP+AcqrM53nxxRfZvn07H3/qKfr7+llcXGRubo4f/ehHbNu2jQ0bNvCf//N/JhwOc+nSJb773e/y05/+lJ6eHv7rf/2vPPfccwwNDVFTU8OGDRu4fPnyGoHU1SaEVNevX4/BYCCVSlEsFmXT/IkTJ2hvb8dut+PxeDhy5AihUIipqSlUKhV+v58zZ85QqVR49dVXicfjfPOb32R8fJzp6WlOnjxJKpWiq7OLOo+Xzo5OJpkkWA2urmU1NTW0tbWxYcMGqeeXy+Xo6+snGongsNkZuXSJhoYGHA4HQ0NDvPbaa2sYZZaXl5mamuLpp5/m4sWLJBIJHA4Hg4ODxONxenp6pADtxYsXJYei2HdmZ2c5e/bsda/z591umTnjJz/5CYcOHWLLli08/vjjV3VcgUCAb33rW/J3BoMBl8sl/33gwAH8fj9//ud/TqFQ4POf/zzbtm3j7//+72/qGgRzxo4dO2Tz7cLCAuVymd7eXhk5it8bDAZFNtzjYXl5mXg8TkdHB6lUikKhgEajYW5u7rq5d51Ox8DAgEyLFAoFGU2p1WoJXZ6dnaWnp4dYLEYkEmFlZUVGciJCFo2LAwMDRCIRpqenZfSr0Wi4ePEijY2N2O12CoWCrD+I6Fps9jqdTmrkjIyMSPn165nBYJAAgUQiIU8zApyQSCSIx+O43W6am5vp7u7m+9//PrlcTsLA3W43BoOBlZUV6fjq6upQqVREIhEWFxfp7u6W9wxKGkmgDP/Tf/pP2Gw2vvWtb5FKpUin0xJqLSD0p0+fRqvVYjab6ejokPen1+vx+XyAcuI2mUyEw2HC4TA9PT1Kyq9cwmQ2Mz09jdvt5pd/+Ze5dOkSC/MLTE9NkclkpBPYsGED0ZgidR+Nxejr60On1TIyMoLFbMFut+P1ellaWpKNwqIlwG63Mzo6SrlcxmKx0Nvby7lz5yiVSrhcLpxOJ6FQiOXlZXp6eiiVSmQyGebn5+nu7sZut69prFWpVIyOjuJyuWhubpZggng8zsTExBtSTlqtFovFwuDgILlcTp6oBRx+bGyMQqGAyWRiYGCA8+fPy9NwX1+fRJe6XC5Zlw0Gg/T29mK322XdtVQqEY1GWV5epqamhtbWVrLZLIlEgkQiweLiIp2dndTW1kpARDQaZX5+nqbq6czpdDI7OyszIcPDw9edr+IE0tfXJ6mwlpeXJYAiHA7j9XrRarXkcjkmJibI5/Oo1Wq2bt3K0tIS8/PzlMtl7HY7TqeT7u5uOdcCgQDFYpHa2lqam5s5c+YMyWTyptZPTU0NTU1NFAoFQqEQ0WiU7u5uCQSbn59X5pFOx/z8PPF4nPXr1/PII4/wzW9+U9bFu7u7CQaDZLNZWlpamJycpFAoKO0c2SzRaFTW6UFx5p///Od55ZVXGB4efsfRhAaDQaqMJxIJpqamaGlpkY3gs7OzMp3u9/ulYGyhUMBut6NSqcjn84yNjUnWmGQy+c4LSapUqqs6rmg0yve+972rvufSpUsMDAxw/Phxtm7dCsAzzzzDhz70Iebn5+WmdD0TjkukY65kDDAajVQqFVkDEKbX62UOWqQrVCrVLbFhi/cIhd2amhr6+vpwOBwsLy8zMzPD/fffDyid5T/+8Y9l3UK8RxR0b8WEc7ky6haO580wcOh0OuksRUQn+qj6+vqkAu+lS5fW5NNFemW1YOe1Pl/A0Fdf8+///u+j0+n4xje+cUNRxquZqAWJSHz1+wXhZzKVhAq0dbTzhS98gRdeeIGpqSmmJ6du6fvEBirUe9/sWF/tHkSqSuhcXVn3tFqtawA4t9MERF2MxernI9J4QnDzSv5JUWe8UtVbCDFmMpk1rxdp39WaTG9nfUan011Vg2u1ovbteIY3awK8NDg4yN///d/LlgCLxUIul5PIzyt12lab1WrF5XIxMDDAxYsX14Cj3gkTQVtjYyMej4d0Os3c3BwOh0OmnV999VUZ0A0PD9PY2IjValVaiDRqdDo9JqORQ4cOkS8UUKtUBIPB946Q5MGDB/F6vfT29vKVr3xlTfrq8OHDOJ1O6bQA9u7di1qt5ujRo1f9vFwuRzweX/MDSurrajQ32Wz2DU5LvH51EV00Cd+KiaIzKKeJmpoa9u/fT6VSkaesSqXCwsICw8PDsllx9XveDOWU6JtaTZ0ifv9mF2GhUCASiUigiXBaBoOBhx56iO7uboaHh9+wAYi+mRs5AHFavPKaBU3Vm3Fa8Hrx+mo0QNlsVunFqf5aXY3syuUypSuu42ZM9ASKzft2bXji8wRr9tXaE0Trw9thovAvnM/qcVkNlLmaKGSlUpHXvdrK5TLJZPINrxeoOQFKeLtBBSJQutKKxSK5XO4ddVpqtZotW7ZgNpv5yU9+IveBSqUin68IZK83N4eGhnjiiScYHR29aXq322mDg4Ns3rxZckO6XC4+85nPsLS0hM1mY//+/bLmLTJYdrudgYEB9u3bRyaTRW/Q89AjD3Pv/ffR09uDVq9709dz21GF+/fv5/HHH6e9vZ2JiQn+w3/4Dxw4cIDDhw9LNgav17v2IrRaampqronq++Y3v8kf/MEf3O5LvS02Pz/P3/3d3zE0NMSmTZvo6elheHhYFqjfbyYc14ULF2474apOp6OpqYnh4WG0Wi1DQ0OMjo6+bXIaFpsVtUbD5cuXZVF/bnbuF7Jh8wN7501bBSCJYHtlZeVNEwGnUimWlpYIBALvivyM6EE9fvy4ROEePXqUeDwu622f+9zn+NnPfsarr74qA/mlpSUKhQIzM9MsLC7ItqVAICDBWm/Gbrvjeuqpp+T/Dw0NyUbLgwcPyhTardq///f/nq9//evy3/F4nObm5rd8rbfD0um0rKUYjUZKpRJLS0uycPt+MxH9TU9P33ZOR3HKGBsbk7nvt9OJVMpl0lU0XrFQfEt6VR/YB3arJua7aId5K6dnUQu/FnnA222CuUdwM4oaZz6fJ5VOEY5EqHXXYjKboIqiLBaL5PI50pkMmXQGjTZPMpEkl82Rz+Uo5N/8eLztfVwdHR243W7Gx8e5//77qa+vf0P3vGBlqK+vv+pnCJjoe9FECu/gwYPv9qXcFhP3c+HChdv+2cVikdnZWWZnZ2/7Z1/N0qk06VSaxYXFd+T7PrAPbLUJCrjbAV2fm5t7x+taq03UPMfGxvD7/WtKBUajCbvDzkowSE1tLQPrBnjt0CFQAVWCAaoMNXVeLzPT06wsr7yl63nbHdf8/LxUwwS44447iEajnDx5ki1btgDwwgsvUC6X2bFjx9t9Oe85ezcFBN+MvZOigx/Ye8/eaaHPt8PEmhPNwb/Ijbw3awcPHmRwcJA//MM/ZHR0lNnZWUZGRrDb7TQ1N+FrbOR73/see/fuZc+ePWQyGck1euedd5LP5qT0ztGjRzEYDPT393PpTUqc3LLjSiaTa2QvpqamJHFkTU0Nf/AHf8ATTzxBfX09ExMT/NZv/RZdXV08+OCDgMLUvX//fr74xS/y3//7f6dQKPBrv/ZrPPXUUzeFKLzSNBoNPp9P9oAJaDS8LvshEIYzMzPvqUna2tqK06nwxx05cuRNbQYCYdfQ0EAoFLpt6bCGhgbZsAlIaPru3buZmJjA7/e/o02QAm5/M/pH75RptVqamppYXl6+ZZCPeL/L5cLtdgOv0xZVKhXZJC4i3ZmZmRsW8N9ua2trw+l0YrVab3m+inUai8XeVlmhG5nT6cRsNuNwODCbzYRCIcnKL0wQ8wrkskBJVioVCU8X9FlqtXoNU4jgRb3SLBYLLpeLxcXFNQGfaEIWabhSqYRarcbv91+TVPndsNnZWcrlsuRIFTRWgsIrEFhmanKKkydOsORfIhqJYLVYKRVLRMJhgsGgBIElEgnZhvRm7ZYd14kTJ7j33nvlv0Xt6bOf/Sx/9md/xrlz5/jrv/5rotEoPp+Pffv28X/8H//HmlTf3/3d3/Frv/Zr3H///bIB+Y//+I/f1A3odDp6enqkOJ3oxxCT784776RUKhEMBmWv19u9+AXLw42+p6+vj+7ubpqbmzl16tSbdlxC1uHcuXNv2XEJR9jb27smCBDQ/8997nN85zvfUWQvEgnZo3a7T19XjmF7ezsajUbSZr0XTJDLnjhx4k3VHgwGA42NjRJhOzc3RyAQkH1hW7duRafTkU6n5Yb5bt67mK9NTU2cPHnyuvNVwP3FRqzT6ejr62NiYuJddVz19fWSGq6uro6RkZGrOq7W1lYpnyOY+VUqlazvCNkZnU4n+9ySySSRSIRYLLbmOQkF5HXr1kmOUWEej4eOjg4GBgZYXFwkk8mg0+lkj9jNstW/3bawsMDi4iKnTp1Cq9VeE2E7vyqdWVtTSy6bZWx0TALWVnOrvpXA95Yd1549e667If/0pz+94WfU1NTcdLPxjSybzfLKK69w7733Ultby1/+5V/KDWRycpKnn36a6elpLl68+LaDAVQqFTqdjnvuuYeJiQmpB3UtGx4exmg00tra+pa+83qilLdqdrud/v5+Pv3pT3Pq1CnOnTsHsIZhXywm0XhdqVQ4duzYW/5uYXq9nvvvv5/h4WGZ17+aEN97wd7KuAu9tc9+9rNEIhG+853vSOLlWCzG9PS0VO4WkPx3086dO4fBYLghMEqtVuP1etm0aRMvvfTSmv6td/sZ7tmzB4C//Mu/vGY/WblcJhQKSX2xF154gWw2y/79+2ltbWVkZISXX35ZgrFisRjPPfccH//4x9m3bx8Gg4FLly5Jxv/BwUG2b9/Ovn37eO2119Y4LqGw8PWvf53f+73fY2JigvXr1/PFL36Ry5cv87d/+7fvyLjcjK3mULwZW60/J7hKb5e9r0l2hYlG2CsbJUulEqigVFYYoStU0GgVktG2tjaSiaQkzK2rq5O8d/X19VKfKpVK4Xa7sVqtTE5OksvlJHFnW1sbGo1GsnGLBr077rgDi8VCqVxmZmYaq8WKxWKhpqaGZDIpI7NiSWF5kNuRCrRaHS1V1oRisShTRCqVCl1Vu0qr1VAuvd4fJu579cbmrvLg1dTUMDExQSqVuqn+FXGyEgKIDb4GAkuBNQTAgqi2u7tbOq5wOKyALlRgsVhp9PmkCGIun5NyH7FoDIfDQaFQYH5+npaWFnkan5ycRK/X43a72bNnj+Snm5+fl42wYuMzmUzU1NRI9oloNEoikcBiUfgIBY2SeN/8/Ly8/7q6OtlzMjU1JZtArzSDwSCZM1KpFMlkkkwmQ0tLi4QkiyBJXJfQs3I6nVy+fPmG/W6CTLhcKStztPracrlMKpWSz9VqtSpMETodS0tLNDY2UijkWVhYlKoDTodDEtvq9Xopemk2m2lpaVlzKnA4HPJHfI+AOWu1WslU4fP5UKvV8iR/pQKxwWCgq6tLalkFg0Gampro7u5m9+7dBAIBmUpdfYJerZOl1+uZn5+XKg719fWgUsA8dXV1JJOp6lwKwQ18t0qlkmKeZrOZWDxGNBKlUCzg8XppamlGrVLT2dnJxMTENU+Nor9NnBpTqRSLi4ts2rRJkjOXyiXKlTKlsnL6iMVjJFNJfD7fmqBVPI9kMkldXZ0EbYjnv7oBOZlMMjc3JwUmQWmqt9lsWCwWZmZmJDel0Wh8z0qbiIBO9Muu5sK8HfZz4bjgdXloi8UCKPNbo1GjUqvlxqBSqTBXc81Nzc1kM1mikQiRSITGxkZJXtna2ipzsbOzszQ3N+PxeEgmk/K4W1NTQ3NzM0ajUW4GQvV3YGCAeCLOgn+RxcUFWf9zu92S9iidToNKpaxDlfJjMpmwVpnbzWazZD1fXl5Go9Hgra+jqbkJk9GEVqMhmUwSDodJpVKSqFOweNfW1uL1emlubpa55RtNGpEmNJvNyntKRZpbWtb0n4iNR6vV0tjYSE9PD+VymbNnzxJYDqDVaqmrr6OltZV4LIbRZGJ+YZ6m6hhOT07h9XrJ5XIkEgnq6+tlvWFxcVHSg23YsIFQKES4mh83m82yQdpkMuF0OqXwphBznJiYwG63U1tbK7W2xOsjkYicI0ITzWAwEA6HFRb5q2xgq5lRgsEgS0tLBINB+vr6WFlZkWKlknC36nSFJE0gECAajd6w76ZUVhjlS+W10b84qYCimNzb24vJbCKby9LZ1akENGo1U1NTOJ0O2tvaSafTknppfHxc9q81NzfjcrkIBhXeSZ/PR21tLU6nUxLvplIpMpmM1F8LBoP4fD45TqvFRwXzg9PppLW1Vc7r1dydAwMDHDlyRG6sZrNZssgI5WGhQVUqleTzbm5uRq1Rk6lSIaVSKcLhMJFI+LpBgEhJ1tXVyVqcw+UEIJlKyXUo5u7s7Ow114QI1FYzfcTjcfQGPXqjQXGsIkiuIufSmQzJVEpSHYlrMhqNFItFlpaW8Pl8Ms0ubDVbPCg4gtXBlNPplIwV8/Pz0pEJGaT3quMSBBGCKUSr1d42x/W+ZodfbaJe8NGPflT+PP7EE3R0dEg6Ea1Ox86dO3n44Yd58cUXGVy3jscff5y6ujruuusu9u3bx/33308wGKSrq4vf+Z3fYXBwUPKjfeUrX6Gnp4f6+nq+/vWvEw6HKZVK/PZv/zYul4tYLMb4+DgrKyuMjY9z8eJFOjo7ufuee9i4cSPPP/88fX19PPDAA+zevRuj0bjmHu6+5x6+9KUvMTMzw8WLF0mn0/yX//Jf6OzspLe3l//0n/4Tc3NzxGIxScprt9sxGo18+tOfprOzE4fDwSOPPILBYGBhYYHTp09jMBikFMn1zGazYTabSSaTvPrqq8RiMe677z7J+r7a8vk8o6OjkhPu5MmTOJxO+vr72blzJ8eOHqW1tZXf+nf/Dr1ez913381nPv1p7rrrLurq6ujo6OCrX/0qqVQKvV7PgQMH6OrqQqPRsLCwQDwe58KFC5w4cYJCocC9997Lgw8+iF6v59577+WOO+6gpqaGo0eP0tjYyG/+5m9KUc/NmzfzqU99SkqrfOxjH2NoaIjm5mbcbjf3338/JpOJY8eO0dHRgcPhuOp4iJRoc3MzTU1NmEwmUqkUHR0dkiXiU5/6FG1tbXg8Hh544AFaWlqkQ3jggQfo7++/1aksTWxo5XKZbDbL7t27efihhyWXXVdXF3/0R3+E2+2mra2N/fv38/GPf5x169ZJ0t69e/dy991387Of/Yy77rqLhx9+mM7OTr70pS/R1tbGyy+/zKc+9Sn6+/tlj87WrVu59957JcdcS0sLW7ZskSdj4UzvvvtuPvvZz3L8+HHuvPNOPve5zwFKPWRmZoZQKKTonFU3209+8pMMDQ1hs9n4zd/8TWpraxkfH2d4eJhPf/rT/PIv/zJqtZq7776bB/c9yD333CNPOb/+67+OVqdTgrxrmN1up7u7mwMHDqDRaDh+/Dj79u1jz549DAwMMDY2RigUwu/389prr90QUCP49MxmM01NTezfv5/z54fXtIoItQe3x0NfXx/t7e28+uqrRKNRdDodLpeLfD7P9PQ0Bw8eZOfOnXR1db3huwR4ZePGjTzxxBM888wzPPfcc3I8PvnJT/Irv/IrWCwW6urq6OrqYtu2bdecu+8FO3XqFD/5yU/48Y9/LE/Ut8t+bk5cQlLh5Zdflr9TaZQaTCqVQq1W09XVRWNjI16vly1bthCNxwhHI2RzOSKxKPlCAf+Sn+mZaZqam4jGYkxOT5FKprDb7Tzy6CMYjEbCkTD/8p3voNZqcHs8aLQaVGo15UqZQrFAqVymWOV527p1K+VyGX81vTA+MU5Laytbt29jwf96f5HeYMDtdtPY2Ch5A202Gxqthhp3LRazmdra2ioFUYpoNEo8HicSiRCOhKmoQK1RY7ZaWDe4jjPVE5BarYYKNxWVdXV1yRNQpVKhubmZwcHBKtnrKqFNlaLblC/kKVb1p/L5POvXr5fyFQMDA+TzeY4dO0amSrAbCoc5fOQIiUScSqXC2fPnUKlVGE0m8oUCNrsNXVBPKpWkXKlQKBbI5qpF8UwaQ8kAKhUbNm0kGo3y05/+VJFrCYeYm59nYGCAXC4nyX9FsXtkZASr1SqVmxsbG9Hr9Wg0Gk6dOnVdsMDKygqHDx/moYcfIpvLSa0yIUOfTKUolkskUklOnjqFy+WkXlUPahU2uw2jyXjNzxYm0IIGg4FcNgfVlKjJZJJ0SYKkOBaLMTE+jq7K0ylkSEqlEuFwmFAoxNjYGIuLi7S3t1NXV4fdbmfr1q34/X7SVWFInV6HSqPA2uPxuET75Qp55eRXdU65XI5cPq+ceFVUdcgUO3f+PMvBFRp8PixVEVCVWq3oqxUKFKsptGQqqaTsK2U0Oi0ms5nm1hYAwpGwcqIplzGaTXjr6kgkEyRSScn9uRwIkGhtw2q2kCiXr6mb5fF42LRpE4FAgFgsRj6f5/y58wpTvtnC8WPHZLr7ZijLVCoVRqORjo4OVlZWOHjwIKOjowpgSZFsw2w0YTQY6ers4tzZs5w4flyqEjgcDjZt2kRNTY1sI1i3bh3T09MyNbjaBAH2tm3bOHLkCLFYjHK5zJEjR6R8kJB0cblcnDlz5l0FulzNOjs7aW1tpbm5mRdeeOFt6z37uXFcglNuampK/k6tUUvopUqlUuTfbTaMBoNkME4mk+TyCoy1XC4r6rXVekk6k5appGwui8VqRafTUiqXiSfimEwm1Bq1kjKoLupSVTCwXKmgQoGVLy4uks6kQQXBUIjaajppNRxUSN47HA6yOYUHLpvLUqFKeqrRkEql1uTLl5eXicaikgdOVU1LNLe0AEr650Y1gdXm9Xol87OoGVqtVmx2O5nM2nRXhQqlcrkqgqjk+evr63E6neRyOYxGo0RyFgoFmTaYmZ0hlUqh02qpoKRBUEEqnUKn16PRaqpCjVVeu6KyuAXzNypknSAWi1EqK889GoviqqkhsLQk61GiRhkIBGRNoFKpEI1GMRgMtLe3c/78+esCBpLJJBMTEzhdLhp8DXjr6pidmyUSi6JRq8nlc/JUlM6kcTgdlKpKvw6HY42m0lVNhdxE7XY7yXgCsZ1ZrVYikYhkXRDs4wLpGQqFZKG/WFTGQZyAl5aW2Llzp9TAslgszM7OkkqlpDPSarXYHXYCgQDhcFg5YapVytxdxX5QKhZfP+moXv/J5XMkk0lFXBNlDarUKln3EXWgQr4g15dSq1VSsKhVq2qFCvrQYDSQrRILR6NRYtW1mMtmlWBDraHI1R2X2Wymvr6esbExyUu65PfT3taGrUr2WqlUqJQrVwVlXMtEbWZmZga/3y+h3CqUNKJGpUKr0TA1OSW10wAJZBEoQ5G2ttls2Gw2otHomu8RvJBCD00olYum/fb2dsmur9FomJ2dfVfon65nFouF+vp6Nm7cyMmTJz9wXDeya20+VxNxiycSvPD882sKzavz2fB6mqb6D6kEq65ybf3H//gf+S//5b8wMTGhSH5foWIq/j+Xy8m+EXE9YtO9kixXr9djtSr8eqxaWKlUioWFBb7//e+za9cuCoUCsUiUI0eOkM1lpSKtYJBva2vDbLGg1mgol0qoVWrpiK5nJpOJRCLB97//fQD8S0s4XS7WrVuHVqNhZXmlOj6vj6lKpZLROSAlW1566SVlU1WpoKr8K5WfKxVaWlr41V/7Nf7+7/9+TauCavXnXvEcxe+EunBNTQ3RSER+fywalX+72nzQ6/U4HA6++c1vsmXLFnbv3s0TTzzBs88+y5kzZ646JkIeJxaLUV9fz913383/+B//g0I+L3vLQOnHufPOOwHF2V28eJFt27atGZtr2fLysmzIXAksy01OACquqrFWHctcLkcqmSRvV+bX6uesUqkoFouEQiGee+65NWM5MzODw+Hg/r17eeWVV7h8+TLRaBS7U3G2Wp329c+7YvwBNFotDzzwADt37uQ//If/gN/vx+PxyNeI+uLq+1+t0CxEKlXVPiiq1ypOGau/SziIG5kQs3S5XHLTV6vVstdo1dDd0MRcjcVinDx5krGxsau+TgCQXnrppTe0Qwiuwh/84AeEQiG0Wi2Dg4Oo1WrWr1/Pq6++Kt9TKpWYnp5menoak8nEvn37aGxslKjCWCzG4uKirL+vrKy8J7lQZ2dnKZVKbN++/W1FkL7vHZder2doaIiWlhbsdjuDg4NMTExIbafmpiZ0Wi2RUJhXXn2Vro5ONm7YwG98/TdIJBIEAgEOHjxIW0srDocDg15fBRDUUV9XR093D/F4DLvNTq2rBk+tm3wuh81i5Y6dd6DX6dBqNOzcvoORkREWFhaoddWwbmCAZDLJz372M+7ds4ehdYPMz86xbnCQUqnED7//AxobG+nu7sbn82Gz2RgdHUWr1fLE448rBLcVOHn8BAH/Eq4aF/fddx8rKytkM1mcdgdbt24lkUxgMptxu92SqPjgwYM8/vjjPPjgg0xNTXH65KlrTnSVSoXT6WTfvn10dnbK00k+n6dSjVAfeeQRjnq9XBi+QHNzM709PWQzGQ4dOoTVbMFe38Cdd97J2bNn6e/v55FHHqHJ10goFCIUCnHi1EncbjcNDQ1s3rSZ8+fOUSlXKOYL3LFjJ2q1Grvdzq6dd1AplTkdOc1KYJm+XkXM8eLFi9TX1WOxWBhaN8gLzz9PTU0NDz/0MK+8/DJNvkY0KjUnT55kYGCAvr4+WWsyGo10d3cTi8UUlFksxh133CGbT4PB4Bsi3yutXC7z2quHcLvdCry3XMFqteH1ePF6PPR096DX6SnmCwwNDZEv5HHY7GwYWk8ynuCsSOlcLW6owAvPv8Dg4Doee+RRvG6P3GSTySTpdFoW6bVaLd46L489+phkZ//W//pLCvkCtbW1dHR0YDQaCYVCLC0tce7cOTZt2kRvby+/+Zu/STweV+qeZ04zNDREqVTCaDTiqXXLU+NSYAm9Xk9bWxuf/OQnqa2txWpTTt2pVEoR9qymqsSaeGDvA/gafJjNZvbcfQ9nz52lWCjirq1l5/Yd+Jf8FAtFPG43nlo3ZpOJ73/3ezT5GvnIo48xv7DA4vwCsViMYr5AS1OzIrljtnBx+IKcO/39/Vy8ePENlHHC5ufnee6553jyyScpFAoYDAbWr1/P5OQky8vL9Pf309jgo1Ao0N7ezvz8/FVT6BqNhs7OTjZv3kx7ezttbW3E43FJOi0CIKEVFgqFOHbsGLFYjFwuJ+tSXV1dNDQ0SNVtwQPa29tLT08P09PT2O12qWXW1dVFNBrl4MGDtLe309TUxFNPPcUPfvADifhsbGzk2LFjXL58+bpz9u0wq9VKb28vGo2GcDgsiShUKhVanY51g+toaGhQUKFqJdgQiNZMJoPZbJYiuwLteq1neSN73zsuQGpGmUwmmQIQk+TC8AXJzhyrqiLX1tZKiQORpllYWCAajbKysqJAgQMBzpw+QyadplhQ6gzHjx8nGAySTCQV9eRoFLVazdkzZ6VEQS6Xk8zquVyuWqieJeNRkDWxKiR5enoanV6H3+9neHiYfD7P3OwshXyBGpeLckmJps+dO0c8Hsdmt0s590w6Q6lYZGBggMmpSVaCQY4fOyaFII8fP05PTw+gnBiKVajztUycDOfn5yXUV6VSEY1FuXTpkkx3iHsTKdZCoSCRfMVCkcXFRSxmMzMzM7JvQzjAmelpqECu2qibSqW4cOHCGpl6IZxYLBQ5c+YMiURCSn6MjY5KPbLxsXE8Hg8GvUGm/kSNJxwOs7y8zMjICMlkkmw2y/T0NOl0WiIBhWxHJpNhZWXlptSvxcnaYrHIU2Mmk+HUyVMEV1ZIJZMsVNGmAiE3Oako6lbKleumbBcXFrBZrSwsLMj7LRQKcpzXnJQrr58sotEoc3NzUhBycnJSphbL5TLRaJTJyUkJ6ZbaT2qNrJsFg0E0KjVut5typczCoiK2qVFr5H3E4nGMVVTh4uKi1FhbmJ9neHiYXDbL1OSkRI0V8gWikQjnz52XzzOfz3Pq5Cnm5+fJpDOcPHkSm82mnMLKZdmYXCgUmJ2dRafTSfDT4uIiw8PDUgX5WpZKpZifn2dmZkZmNFZWVuS8drlcXLp0SabkrpeBSCaTLC0tMTw8TDwef8P6KZfLslaVSCTe8HmFQkGpR05MrJEyGRsbI5lMyh6wYrFIMpnk8OHDhEIhstkswWCQy5cvSyHZSqWCRqNBq9VK5OU7XdsSCF6NRiNBYX6/n0wmg6vGhbeafZAnbVD4CU0muru7pRah0PUS7Sxv1nG9JSHJd8uEkOSbNRHhv1nGZsF1JmpUouAr0iB6vZ5SWcnzK2lGJYqz2WxSU+vaHw56nV5GaCL6bmlpYf+HDnDkyBHSqTR6nY7f+Z3f4Tvf+Q7/8i//8oaPMVRBAblcDspv3yMWNRylH6maolKrsZota3TIrmai+C00ywTIYPUJQ6VSXfMZqdVqLJYbf8+VJtJIq8f3Zkyj0UgKput9tkjhGQyGNfdzIxN12Hw+v+akJey3fuu38Hg8/MEf/IHsi7rZ67bZbJLpxGazsf9DBwgGg4xcGsHr8bBjxw58Ph+/+3u/W53fWnRVR1QqlyiX3vhdao0ajVojaY9W60qp1WrZD3atNLUQdtRoNLed9VyAGeLx+LveuP1mTaPRSAHO3bt3s2PHDv7u7/6OaDT6jitPfOxjH8PhcPCv//qvfOUrXyEej/O9732P2dlZduzcwd333MP/8//8PzidTpqbm/nIRz7Ct/7yW8RjMb70pS+h0+mIxWJMTU1x/vx5PB4Pzc3N/NVf/dWbEpL8uThx3aqVy+WrRlE3a2KBrj7drbar9SqIPpAbfmdFef/q/LDT6aS1rY07duzk+Z89RyQawWa1cfLkSRb9V2c+z2dz4mJv4c5u3a62KVdK5ZuiqlntOATf2+qxvNGGLyDpt2pvtqAt1LNv9rNvpBB9pYlGbrg6hZbBYJDcebcyd1fPvdraWjZt2oTX7SG4vMJyIECd18v09DSLi4tUyhUFXFEqU7jB9ZdLZcqlsqxdrflbNRi5nl1vDb1Ve6cFI98OK63KlLS2trJ7927+4i/+4l3p2/rpT3+KzWajvr5euSYV1NTWYHPYqa+vp5gvkKnC3WUvbaVMLp9jKbDE0lKA+bk5hoeHefzxx5UszVsgav6FdFxwe7j1bnWx3cp3Xpl2iFdTQY2NjdiracPTp0/jX/Tflmu73Xaz338lmOXt+p63+p4389lv5nuuNkfUajUOh4NgMEihUKCuro6VlZVb2sDE5+ZyOQKBAE1NTVgsFnp7e1Gr1SwtLa1VpK5UbhqQ+lbG8+16FjcDRno/WKVSQavVSjKEQqHwrqgyiKZ9gdbN5rJotFq0Oh1ms1lpl6iiNWUwUr3+YqlEJpMmmUySSCQwGo2oVKq31Nf1C+u43k+WSqWYnZ3l4MGD9Pb2ys3n5Zdffl+KVX5gt2YajYb6+nomJyclt6WoB92qxWIxzp8/T0NDA263mx07dnDmzBnm5+dvu+L1B3Z7TFBivfrqq++anMzu3btxu91873vfIxwOU66UZSrYYDDicrkwGAzoVqV/Re+aRq1GrVLLGpi4h7dCCP4LWeN6P9rqupqIJt/JlIFOp5O1iHfbxBj8IumBiY0AXk9VvxXT6XRr6IxuBFa4mumrTdCiPvU+3EreNybW/uo1L9tL3gH7/Oc/T29vL7FYrNq/qqFSLvMnf/In7Nixg4985CMEAgGWlpbI5/Ps37+fb33rW4RCIT7+8Y+zvLzMhQsX+OEPf0hDQwMPPPAA+/bt48knn/ygxiVMUP3o9fo1PHvvB1OpVJLGqVKpSNSN2KzeyYhLo1EIiTs7O6mpqcFoNPL8889fVxdKFOVbW1vR6XTy34uLi4TD4Rtev+A0a2trY3l5eQ0/nl6vx+PxcPfdd7O0tMSLL754S/fjcDhoaGhgYmLibXP6gnvPbrdjs9lkj9pbdfg3U1+7FSsUCpjNZpxOJy0tLRQKBVKpFJcvX76hA1Kr1fT09GAymbBYLKxfv55nn312jU7fe9UEoMfn8zE1NfW+qYOJepfNZmPjxo14PB4OHjz4pk/et2onT55kZmYGeL3nVSAqL168KPfYaDRKPp8nGAxy6dIlMpkMP/zhDyWqVyBVjx8/fsM2lOvZz6XjEuJsFouFSCSyZnKqNRo0arXsWwEF3SQixnfDyYnNXWxMgkCzXC6/abjo7TCj0Sj1ghp8DZiMJg4ePHhN5yNQgg6Hg+Yqw73o11CrFcLj5RsIQQppmI6ODklxJEyQ3h44cIALFy7c0HEJjkXx/G02G11dXczOzr5tooyCPcRms+Hz+ZienlaolHI5GTW/V9K7BoOB2tpaduzYQSwWw+/3MzY2dl0HqdFoJCO8TqfDZrPx1FNPcfny5fes4xKnSwF6slgsdHR0rFEMeL+YyWRiy5Yt9Pb2cvr0adLp9DviuM6dOyefvSB/1mq15HI5JiYmmJiYwGKxUCgUKBaLnDhxQq6v2dnZNZ+VTCY5e/YsZ8+efdPX83PpuHbs2CHVWgX9i7CGhgbcHrfCOr6yggqVPALH43GCweA7eq0GgwGbzUZ3dzdzc3P4/f7bpq31Vq2ru5sH9z/IP/7jPxJ+/jmlf+w6m5rJYmbrli08/NDD/NEf/ZEi3VIs0traykc/9lF8vkZ+9z/+RymjcTW7nr5YKpVieHhY6WXLZK76/tW2ZcsWNBoNr776qvzd2zW2arVakgUHg0H+3//3/6WlpQWHw0FnZyfRaJT+/n48Hg/PP//8bf/+N2ORSIRsNsvX/u2/4eWXX+biyKUbnuoaGhro6+tDq9Vy4cIFotEoDz/88HsihXw1U6vVDA0NYbfbOXjw4G3Xr3snrVKpEAgEmJubk8i9d9IErd7qf6+226W+fjP2c+e4hEqpWq1o7phMJgkFNpvNbNiwnqH16xkZGWFibBytVstDDz3ExMQEs7OzXLigNCy7XC7q6+uljHY0GqW5uZl8Pi+L5YFAQFK+NDQ0YDQaJYeY2+3G6XQSqcqm5PN5rFYrnZ2dkt4lmUzS3NzM1q1bqa+vV0h1q1GNUAAG5eRgt9tpbGyUjbaLi4sydeZ0OvH7/fh8PvR6PWNjY1Lb6Eam1+slTZTQCRJ0QI2NjfT19dHf38/E+ASLCwvXRQLt3LEDr7eOy5cvk0wmJRx8aWmJqakpdDpFIHJkZIRsVqGq8vv98iSVSqVkg/CVNRdxkhHjupoD0OPx4PV60Wg0zM/PE4vFcLvd7N69G6vVSjabZWpqSvZVmc1mPB6P5GUUsiYdHR2EQiESiQThcFjOH4CRkZHrRrbipNjQ0CCd2MrKCtFoFL1eT19fHzt37qSpqUlqVJXLZcn0vloa3uFwyLm3uLhIMBjEYDDQ0tKCzWYjn88zMTEhNa28Xi+RSITFxcU3tXmIXrNisYher8fn82E0GlleXqa1tZVCocD09DSFQgGfz8fWrVtJp9NEIpGryq+LOenxeDh79iy5XA6tVit1u9LpND09PczNzUkNNaEBNzExQblcxm6343a7SaVS8gS7tLREOp1Go9HQ3d3N+Pg4sViMbDaLVquVvUHLy8uEw2HS6TT9/f3s2rULl8sl5eaFzIiYX4IpY/WzFrpkTU1NZKs8iV6vl6WlJWKx2JtKc6lUKnp6etDr9ZTLZS5evCj5Czs6OggGg6jValpbWxkdHSWRSMiAQNDGtbS0yNT9L7L9XDkujUaD1WYlURVr1Ov12Ox2YvE46VRKSmi3tray5F/CbDZjMBjo6OggFosRDofR6XR4PB4cDgdOpxOXyyVzup2dnaTSKSoV8FSFGgVBqcVikQt2YWFB2fibmjAYDVJXy+fz0dDQIBfM5cuXsVqtNDU1yfSmyWTCbDZjsVrI5fKo1GrJ2G61WqVAYrFYJJlK4fP5aG9vJ5/PU19fj7l6XJ+cnLzhJqbWqKl1u6mpEncaDAa50St0LSZcThcWsxmDXv96R/w1rKenB7VazdSkIs4oHG8qlWJpKUCt283Q0BCBQEBuKgoqSZGkmZmZkbpENTU10oG7alyKaKTDgdPlVEiHq9fi8Xiora2lpqYGn89HLp8nm8sqn9nUiMOuiAoKaZfa2lqZImtvbycYDMpIsqurS/YW6XQ6uWFarFaWlpZkyu9aJlLNghpnfmGBVEqZi4J5v6mpSTai6/Q6Nm7axOLCAplMRoqUWm1WHE4nNS6XdCgulwu3x4PVYkGlUrG4uIhOr6O9vV3WQwVF1C23aZTKlEslKuWKrC+6qt/d4PNRqT7HmZkZzFV6saWlJVlHFqbRaLBardTU1uDxeGlrbWVxcVGhciqVGBwcZGFxkeVAQKaS4/E4+XyetvY2MumMJLW22+10dHYQCUew2WxYrVbcbjfzCwsUCwUZRC4tLTE3N0d9Qz0et0dqbo2NjTE3NyeDACEGKzTUamtrJbG1kKExmUxotVo6Ojrw+/2Uy2U6Oztl43ZtbS12u535+flbdlxCQ87pdCr1YpMiYlquVBQqs2owXS6VaGpqUvqf/AphsqIh6JTfb7FY3iCJ9ItmPzd6XAAWq5Vt27ezsLjAqTOnOX32DH39fbS0KFLjqVSKcCiMf2GR4fPnmZiYYG5ujkAgwKVLlxgbGyMcDvPoo4/S2dnJ6OgojY2NrF+/njvvvJP7H9jLnnvvZXBokOnZGR57/CM88tijqNVq6ZgOHDig6PgYDNS6a1m/YQPtHe10dnZy4MABslllU/3iF7+I3W4nHo8zNTXF1NQUk5OTLCws0NbRzsZNm9i4aSMms4nHP/oEu++8k6NHj1KpVBgcGuLTn/0MRpORDRs38rGPfUzR+FGp0Oq0fPmrX8Hn811/sFQqDEYjD+5/kIcffYSjR4+SzWZpb2/n85//vMKUH44Qj8U4eeIkk5OTN2z27ezopMZVI08Tq21leZmAf0luBOl0mi1bttDU1ER9fT1er5exsTGCwSAWi4Unn3ySzs5O7A47H3/qKZw1LpYCSxx86SV5HRqNhk9+8pN0dXXh9/vZc9+9rN+wHo/Xy+KSn0g0ytJygCNHjhCPx2lqauKjH/2ojHIbGxulwm8ul6OtrU06+8985jNEYlEisSht7W3s3LmTtra2a967UK996aWXqAB//N/+hEcefYSenh55wvb7/SwvL3PmzBlS6RTNLS187d98jc2bNyvioRYzT3zso7R3dDA6NkpjUxMbNmxgz717+PRnPwMqmJpRSFgdDgcd7R3ce/99XBy5RDQWpaOj44bBxZVWqaoYCJkOlUrFnXfeyaOPPkp7Z4eiXu1x8+WvfgWDyUg4GmF6dobhixcYn5jA7/dLR2m1WtmzZw8tLa24alxY7Tbuuudu+tcNoNPr+MgTj3PnXXfS0tZKLBHnww8/xBd/5UsYTEaamptZNzTIvffeqwiyNjVy7333cc+9e7DZ7USjUX7jN36D++67D19TI8l0igcP7Gff/gdBBZ/45CcZGFzH2fPnePrpp9mxYwfFYpGpqSl5wj179iyZTIampiY+8YlPYLfbWbduHV/+8pcJBoOMjY2xsLDA7/zO77B582ZsNht79+7l3nvvpaenh5mZGT7xiU+wf//+W04zdnd387nPfY5gMIjT5eK++++ntb0Nq82K3engE5/8BJu3bMbt9RAMh3j8iSe4b+/9qNQq1m9Yz/oNG2hrb+fFlw4yOT1FJvfeTM2+U/ZzdeIymYz09/fLCLtYLLJt2zaKhSIjl0bWyM/nqtIJIk0ieNz0er2sRQi26qWlJRKJBC1traysrLC4uMjE+LjStJlOy/TNaqaEQiEvnVQ0EiUQCFAqlaRcutPpRF0FiYiCplAp9vv9UupeCBGKutCZM2dwe5Q02P/8n/+TVEpRX75w4QLpdJr6hnqefPJJRXTvOqbTaunv71ckUhJJSqUSFy9elKKUf//3fy+RbOIkcCMT0b7L5XrDBirYFSKRCIVCgcXFRf7qr/6Kz33uc/j9fn7wgx/IupVAH6k1Gmx2O9u2bePokSP4/X6KhYJUfS2VSnznO9+REXQul1PSqjYbs1XOv1L1tKtSqWTzZKVSYWpqikwmw6c+9SkikYjkYcxms1KBeWZ2hmQqRSgUuuko+8iRI4yPj3P4yGH279+Pw27H6XAyOjoqT3P5fJ5oJCoJfg+9doipySnUajWf+OQnpSJwLBrF7/cTT8Sx2mzcd999lMtlXn35FZLJJFqdls7OTh588EFGLo0wcunSWwIXCSaTZDLJSjCojEcmQ3FoiA9/+MMS1CTWzGpmB1CK7ocOHaLW46a+vp7m5mYcDgd6vZ5sJkM8HmdmZoazZ89SLBbZuHEjOp2OkZERNBoNjY2NtLW0otFoSKfSBAIBpqenlZRgVBmvqalJhoeHKRQKbN++HbfbDcC//Mu/YLFYaGtrQ1OlChMqvKvXVigUkmrYBoOBmpoaSaIbj8dlClGcjJaWlvD7/czPzzM+Pk4gECCbzcqg82ZPt5OTk/zDP/xDFTFsIJfL4XA4CFXrtUKE9uLFi+SyWT504ICiFKFWc+DAAS5fvsyrr75KqVgklUoRXwVaej/Y7W5h+bk5cel0Ogx6AyqVilwuRzgcZmJiAq/XS21trayJrFaVFf+/usterVZLWfdMJiMBE6FwmGw2KyXOU6mUwtBdKqHVaWWNQmzY5VWaPxqtBr1ej8VikeSmAul05TWUy2VyWcVRqFUKdFer1aJSK6+NxWIUCgVsNhuVql5VPp8nHo8TjUVJJJQUqfoGEaFgblYg68pnx+NxMpkMdrt9jQTFagTm9Wx5eZlCNY1zpeMym82YTCbm5+fJZrPk83kCgQC6aue9qC+IIKJCBZX69bqRSqUiX3WgYrwEQkx04icTCcrlMlqdTnmelQqVCms2W0Famkgk8Pv9WK1W6uvrqaurY3p6WtYzamtrKVVlLWZmZlgJrly3vqfRaCT/5fzCPGdOnyYaiWI0GmlpaZFjKcazUCiQr9IShUKKAGQqlcJht2M0GMhW597S0hLBFUUUU8ybjo4ObDYb2UyW0dFRXC4XdXVe2bIg+qtuxcQJQrCQ53M54rE4sWiMTCYj5ysVqqTBlTXrBpS1YzAYMBmNqFVq4rGYbEItlUoUCwotUDwWJxwKkc/lKZdKJKt1xkw6I5W6i9WAKZVMkUompY5YKpVS6sqhEJrq96lUKpnqLhQKFPJ5OV+vXFuC+BlApVZhMBiwO+zSsYm/CfBGLpcjnU6vWfPlstJ8Kyi4bmastVot1moNO58vkEqmlPdV++iKxSKppOKQotEoqirSWKVSKSUAk1nWu0qlEoUqsve9DjAxmUz09fXJcsjtsp8bx2W32zGbzSzOL3D40Gv89CfP8J3vfAeLxYLbXYvVal3zkMXEFL8TC0zIda+srHDkyBEOvXaIkdHLrARXgGtMFJWKMhVQq9DqdajUKqn5o1Kp8Hg89Pf388QTTxCJRJiamlrzOWITlognlQo1Kqjy91ksFmxWq/y8QqHwhmhPpVIpukVwU6S6lUqFQr6AyWSSzX+iq321JtLqnxvZ2bNnSSQS7Nq1a03tA5ByB4cPH5aABa/Xy+XLlykUCuzfv1/J20uhQpWE3DqdTowmU1W6/fXr0Wg0fOpTn2LDhg0kk0n81eK92GBVqNY48NX3ksvliMViJBIJWltbWb9+PRcuXJD1DIPBwIXzwxw+9BqHD73GwvzCdVnkjUYjXV1duN1utBotK8sr/ORf/5WZ6RkJ2Fh9DcpDAFVlrRq9XqdnZXmFI4ePcOjQIS5fvozf72dycpIf/ehHHDt2TDaDBgIB/ut//a/E43E6Ojo4cOAAbrcbl8t1Sw36q9fCmjnFVXTR5I9qzXWrVCpsNht79uxhcN0gToeDsdExRQlcvnfVHL3ivlePizKXQX3Fd1SqgciqN0lJjc985jNs2bJFAjak8Oiqz1/z/1XBTLVWg9liQaPTvq4NBoq6dTJ51Xkv1qvD4bjpse7p7eGXn/5lylQIh0MsBwKoUcl7FPesEoq0q0yr1mC1WPDUut+wh72XTV2tz3/+859n7969Mnt0O+x9nyoUTO+PPPIITU1NTE9PKzQjWi0Wq4V0Ok1vby9f+MIX+Na3vkU8HmdlZYWPfOQjPP/880QiESYnJ2UN44UXXuD48eP4fD7+6I/+iOnZGS5cuMDy8jK9vb3U1NRgNpsZGxuTJ4HBwUFOnDgBKCrCn/nsZyWFf01NDeFQiFw2R3t7O/fdd59MbXV1dREKhfD7/Tz00EOSDXrDhg309PSQLxSYmpoiFAphNpvZt2+fAoNVwbe+9S0cTif1DQ00NjYyMDBALBbD6/VSX19PY2MjgUDgmvD+QrHA2XNn6ejsoLOzk3379sl+qz//8z9Hq9VSX1+Pz+dj+/btDA8Pr1GXvpqdPHlSbvyf+9znmJubY35+XpEgMRgYHR3l1KlT+Hw+uru7+fCHP8zf/u3f0tPTw6c//WlmZmaYX1igUCzg9XrxeDzMzMzw3e9+l4ceeoj77ruP06dP42v0kc/nGRoaolKp0NHRgcfjwe50KMiypibOnDpNOByW9Yzz58/T0tJCfX29dFILCws8++yzeDweeTrO5/MsLy/z4osv8uUvf5lsNovf7+cnP/kJgUDgmunCYrFIMBjkySefJJfLcfz4cbZv387S0hL/+q//SigUkoq4999/v7w2j8cjKZyCwSCHDx+mqamJP/qjP2JmZoZTp06xuLjIgwf2Mzk5iUql4tSpUxQKBSVNeGB/VZ13llg0Sm1tLVu2bKGhoYFvfOMb1z0pi+bj5uZmNm7cSLFY5MiRIzQ0NNDU1MS6deuIxWK0tbVTX19Pe0cH9fX19PX1yVR8KBSirq6Orq4uMpkMhUKBjRs3UqlUGB8fZ/OWLRhNJkLhsAQS9fX1USwWaW5uVrS2fD76+/vp7Oikra0Nr9dLU1OT5FHM5XIsLy9TX19Pd083iWSCbCZDQ0MD6XSauro6HA4Hvb29fPjDH8ZYldK46667eOWVVzCZTLS0tLB3714ikQhd3d0Sibq8vMy3v/1tHn30UULBIPFYnKNHj7K4uCgbrYXo5czMjNTXGhwcJBqNMjQ0RGdnJ//5P//n6zbXl0vKqX/v3r3odXpMRiNutxu1RkM8Eaeuro7unh6KxSLxeFwBGuVy1Dc08M//8i+sHxri61//Oi8efJHevj5qamrYsWMHL7744lvi/Hs7TZBgnz9//rb3x77vHZegPpqZmSGRSMhUVKVSppAv8NLBl9BqNDIKW1xclAMqlG0vXLhAJBIhHo+TTqc5efKkBAz4l/ysLK8QjUQ5fuwYiUSSUChEIV/g6JGjqNUqVpZXyOfzzM7M8uKLLzI/N1/V0FFjNJqYnVEaXl955RWmp6fR6/U8++yzBINBmVs/efIkU1NTRKNRJiYmSCQSFAoFEvE458+dw2QyE61qeWWzWWLxGOlUmosXL1KqbiCixvTDH/6QxcXF6zdXViCbyXB55DLxWFx+dqFQIBwOk0gkmJqa4plnnsHv99/U4shkMvj9fs6cOUNNTY3U8BLsJel0mkwmIwU8T58+LZWPn3vuOebn5wmHw+SLBX784x8zPjZGJBzh8GuHaW1V0m2BpQAvHXyJYDBILBbjxIkTr9NgoaRl06kUlUqF8+fPy1aGRCLB9PQ0P/3pT+X9lEolxsfHCYVCUpoDFD6/1157jY6ODsrlsqLBVh2ba5nYcCYnJwHFAY6Pj7O8vMzi4iKFQoGRkRGE9pg4vf3gBz9gaWlJojBPnjxJY2MjHo9HSVGHQiSTScbHxgkGg5TLJV566SXm5+fRarWYzGZSqSSpZEpBKup0N53aFZpRzz77LH6/n4UquvHkSQWMEw6HyWQyzExP88Mf/JDgSlCZ90ePEgqFCAQCJJNJfvzjHzMxMUEkEmFiYkJC5BcWFtDpdSwsLhKLxvjZz37G2NiYVAw/cuQIFquVXDbL/NwcuUyW4MqK1P06evQoKysrLC8vE4/HeeaZZxi7PEo0EiGfL/DKy6+Qy+XIpDMcevVVCsUiiwuLvPzSSzJoKxaLssVFPEflfn5AsFpLLeQLOJ0OJS2ZSnH69GmWl5fJ5/McPXqUWCzGyoqyxl977TWp4ybmzM2M9crKCkcOH6ZU1XKjgszspFIpnvnJM0xNTiop00yGF194gWAwRCadYfTyZahUSKfTLPr95PJ5jEYjMzMzN9XPeDvMbDbLtKhIYQpmHxH0GY0KZ6HRaFwzp0Wq+XbaLyRXoUql5Lbzq3Lher1+Df+fTqdTisq3wMMmGDB0Op0sXosoTK1WYzQaJZxap9NJEUtA9pZcK2rTaDSYTCYJlLidEYxarcZsNstC9u34bPGZJpNJEVN8i9NM1LEymQxarZZK5fUaol6vR6vVkslkJKefrGNUU7/XkxjRaDRryD+Fmc1mKbdys3RLer0eg8GAxWKRUPvV/UKCb+5646HT6SRDwer3i3S3cHqi52+1zE5rays9PT24XC7+6Z/+6V3hDxTjlslkMBgMsrb0dpp2FSBDOG6xbsXfrseWIlosxBy7kalUKlpbW+nq6qKuro5//Md/vOEcUVWFFUWtVa/X3zTbuxCSLFWU11bKFUrvIP2bz+fD6XQqKvHVNhWAw4cPS/CT1+ulp6eH2tpajh8/zsrKCmazmXvvvRedTieJgq+0N8NV+AvpuD6wd8ZEPv59OMXekr2d93017avVJpyGQC++G3aja/x5MTHWQjj0HbE1Rb935isBdu7cSV9fH9u3b+ef//mfcTgcPPjgg/zFX/yFAiZRqdi7d69sgj9w4AB/9Vd/hd/vf1sc1/s+VfiBvXftF2Hzupq9U3pfV7OrsY680/aL8txFxuQd5Td9l4Y2nU7LBvfl5WXS6TR+vx+Xy0UqlWJlZYWRkRGAKiDO/QaA1u209zYs5QP7wD6wW7K3izz4A3uj3e6U/XvZ0uk00WiUaDQq65uzs7NYrVa0Wi3JZJLZ2VkSiYQsa1yNDux22QeO6wP7wD6wD+wDu6FdqzXA5XIxMDDAL//yL2MymSTC+lrvuR32QarwNpmILkQE9k5FvaL/5f0W+b2X61+349pW90W9F+/xVk2AHn7R7L143yq1ClQqKqV37rp8Pp8ib9TQgN1ux2q10trait1ulw39jY2NDA0NSRBHY2OjbFfRarUUCgWpmvxW7QPHdQ0TBKI34ucTrOA+n0+BrycS2Gw24vH4moZVrVYrKVxKpRKZTOYtFc8FikcgysLh8Bteo9VqMZlMpFKpd2TxCeLPG6EjvV4varWaUCi0Bll5s6ZWqyXyTqPRSNaDWymQX+35ajQaPB4PGo3mLV2byPGvrKxIarG3w0SDtkajUWDdb8P3CIRkbW2tZIi/lol7v1llAvEesS6EmOWVZjQaJZHw9fSnBMrSZDKRyWTIZDJveH5Go1FCupPJ5DVTqyaTSQplLi8vv2c01IwmI66aGqWvbGr6Hf3uUqkk+xgFarRQKEh2kViVKcVisUiSYoHoFUjK23UC+wBVeBXTarVSPuDFF1+8boRgMpnwer38+3//71lcXOTQoUM8+OCD/OQnP5FChzqdjtraWu677z5sNhuRSITTp0/fcCO4lgk4/2//9m8Ti8WYnp7mBz/4wRrnJDbhTZs28fLLL78jWjnr16+XfU9XI9rVaDQ4HA5+4zd+A51Ox5/92Z8xPz9/y2MglIxFQ3ggEGBmZoaLFy/elKNRqVS0t7fT2trKyy+/rNBrVam+/u2//bfYbDb+5E/+hIWFhVsOLhwOBzt37uSLX/wi3/jGN5ienr5qUHE7zGQy4Xa7cbvdBINB5ubmbvt39Pb2sn37dj7zmc/w2c9+lsXFxWu+1m63s2vXLo4ePUokErmpz3c4HOzZsweTycTS0hIHDx58w2s2bNjAunXryOfzHDt27A3ChMLcbjednZ1s2bKFM2fOcPLkyTc4nPXr10sWl+eff55QKHRV+Pu2bdtYt24dGzdu5E//9E8ZHR29qft5O02j1TA4NMTHPvYxmhqb+PznPveeOs2bzWbZlqHX69coRFzP3gyq8OeyxrVx40YGBgbe0meInpAbmaBfmpmZYWZmhoWFBZaWltY4imKxSDqdlnInVquV+fn5Wzoya7Va7HY7/f39NDY2UiwWGRsbIxQKXfP6b/Ye3ozp9Xp6enpobGyUHGQ3ooYqlUrE43GFf+8tCHY++uij9Pf3c+TIEX72s5+xsrJCS0vLTd2rSqWir6+PPXv28Oijj65J8cbj8euyjdyMJVNJwpEwC/5Fitc4dajVavoHBhjasP5Nf4+wW6HkejM2OzvL7OzsDU/ter2epqYmnn76aXp6erDZbDf1+el0mtOnT3PHHXew/8B+fI2NkldUpVLh8/nYtWsXDz74oCQKuJbFYjHGxsbo6elh27Zt7NixYy1FkkbNvfffx5133UUikSCZTF7zJLWwsMD4+Ph7igtQNMyvLC+Tzrz32DJWk1/fyGmJZuU3a+/rVKHT6QSUQYhGoxQKBQwGA+vWrSOXyxEMBgmHw5QrZdRqtTylySNvBanJIxqAE4kEOp1OsjGA4jSEmGM2m1W69atRmmhaHhkZIRKJkEgkGB0dXRNli3ReqqoJplarZTe5aFjN5/NS6j4UCr3hoZvNZjo7O2lpaZGMBclkUhLl1tXVyfRjOp1Gq9XKRl1Q7lPcQ6HKsH4lG4Y4yTmdTinomM1mZVpO6ICJ9M769eulExLNv6uJhkHZpF0uF1qtVp7GstnsmtesvjaRdrjeSaetrY1AIEAmk5EaaqKB/GastrZWcvrZ7XZJXCx001ZvZsL5u1wu2agsWFjK5TI6nU4hJVar5Ofk8nmlUVqnxe5woNPp5PwU39/b14tBr2dhYYFYNIoKFUajUWpGJRIJKpUKJpNJNrSbzWZUKpVkIBEN79fbXG02G3q9HpVKRTQalVpjFotFzkuLxfIGLS+hrWU0GmW/0vXM4XBQU1ODWq2mrq6OlZWV63I7CiuVSsSqTOcOu4Punm4ikTDFYhGVSkVdXZ3U0hLjfi0TqfpcLofH42FgYIBDhw5RKpXQarXUetxSOUI8b4XhRkNtba1MOSeTSclVCMpJsqamRo5huVyWJ3RB2itg4blcDp1Oh9FolPuMGDvBbyiemdgjxN4kFCDE+/P5vBxDkQI1mU2vk0i/x2z1nnWjk9Zbrf2+rx1XX18farWaxsZGjh07RigUor6+nvvvv182YL788svk83kMJiObNm+WefIjhw9TqVQwGAx0dXXR3NxMIpHg7NmzciMUJyIhYrdx40bm5+cJBAJrePsqlQo//vGPJWP0j3/846s+FLFYRP7fZrPh9Xrx+XwsLy/jdruxWCy88MILb4hYvF4vH/rQh3A6nYyPj8vNXxDC7tq1S+o9jY+PS9aK1XQsbrebTZs2EYlE8Pv9jI2NrblOQXy7fft2pqenWVpShOxWi/HF43H5uscee4wLFy4wPj5OKpWSfRuC3kWwVghto1wux7PPPvsGwlOTyYTH42HDhg1SLTkQCFzzubtcLiqVCg0NDUxMTEg9s5sxlUqF0+mkWCyyvLxMe3s7U1NT8pR15YIS0N6tW7diqYo4njx5Ujprl8sl5TmOnThOOBRCMMHa7XbctbXYrDaOHj1KOBymUqmwYcMG7rnnHkVleGWFE8dPoAKam5vp7+9nenqas2fPUiqVJGdjPB6nra0NvV7P+Pg409PT8tqu5bhUKpXk/tPpdBw5coRMJiN5/YrFIslkks7OTi5fvsz4+Lh0rkajke7ublpaWujp6cFgMFz3RNva2kpdXR0/+tGP8Pl8FItFSX91o+eh0Wg4e/YszS3NyslqeJhMWnHMXV1dqNVq5ubmbqpuVi6XOXv2LJs2bWLXrl1861vfolQqYTKZ2Lx5M8FgsEqdpawtoc22c+dOkskkgUBAppwFmW57e7tUJz9y5IgiV2Q0smnTJkKhEOFwmN27dzMyMkIgEMDpdNLU1KTsM0eOyNqOVqtlYGAAm82GWq1WZEqqitzbtm1jZGSEdDotOSSFhhhATU0NLS0ttHd20NLS8rb2SL0Tlsvl3lLd8H2dKmxvb6dUKuFrbOSJj32Uxx7/CAsLC0QiEebm5zl0+DXyxQKbt2zhS1/8EmdPnyEUDOLxeHj66acZHBqkubmZffv2MTs7y9zcHN3d3RiNRtatW8dTTz2FXq/njjvu4KMf/SjPP/88pVKJ+vp6eQ1CPbdQKEhdnas5rcqVdNgoG/zGjRv5lV/5FWw2GzU1NbS3t3PgwIE3CEGm0mkmpiaZnJpicmqSyclJRd/L6cBbX8f45AR33X03Tz/9tKIebDLS1NLMJ3/pl7Db7QwMDPD0009z+OgRguEQvqbGN1zj448/zr333suxY8f45Cc/yYMPPggoJ84777yTX/3VX5VpoEKhwNLSEpcuXWJkZIRgMMjmzZvZunUrLS0t6HQ6BgcH+fCHP8zw8DAzMzNEo1EpQyHGqK6ujt7eXnbu3MnJkydpamri61//+nW5zb797W8TiUT43//3/51f+cqX2b5zBzrDjReyUDXOZrOMjY1x+OgR7r7nbhpXj4Ug51aB3WFncHCQT3ziE5w9exa/34/H42FwcJCOjg46Ojp46KGHZBPqr37lq3g9XvEx1Hm9gIpQJMzv/O5/ZOeuOygUC4xPTkidp9OnT7Nu3Tq2bt2K2+3G4XDQ39/PAw88gFarpa+vj3379nHv/ffJOfTbv/3bNDY2YrVa6ezqYueuO2jvaF9zr1arlS996UuYLWYputjX309dXR0Gg4FPf/rT3HPPPVJ9etu2bdx3332oVCruuusuHnzwQdLpNMePH+fcuXPKHL5OhKw3GMgXCzz3wvO0trcxODR4w+cBr4MzLl26xOzMLD09Pbg9Hmpqa6mtrSUajZLOpKmoQGe4sQo3QCaXxb+0xPTsDNu3b8fr9cr6ar56Ghan0MHBQb785S9z6dIlWltb+cpXviJTlVqtFq/XSyabQaVRc8+9e7jz7rvo6e1Bq9PyxMc+yp777qWto514MsGBD32IX/s3X8NkMtHU1MTQ0BB79+7FarUysG6Ar/3bf0MwHGJ0dJS5uTl+//d/nw0bN6LRatl1525a21oxGo3Mzs6y94EH2LV7F2qNmieeeEISHh88ePC6dcZfFHtfn7gEa/TI5RF27tyJQW+QCJZcLkc8rrAu19bWYLVYqh3eQaw2G/v37+fSpRFi0ahkyPb7/cTjcVmfcjgcMn3mcrkYHByUBL2rbfWCvt7ivvIvQl/HYrEQjUYlKqqxsVHqEgkrV5GIRqORTCYr3ytSG8vLy2SzGdQuFzabjXQmLR2bQOHZbDbWrVsnxQKvtEAggMlkwmg0Splwwd2mUimprLm5OaLRqOQ2FDpFggtQrVaj1+txu93U1tZKhKU4Ga7m6RMnAo/HI2XN1Wo1yWTyuuM4NTUlU4sul4ve3l5UqDh+7Nh1UxRWq5W2tjYsFgtqjRqNRkNXdzcnTp6UemfCaSGuze2RzzydTlMsFiU/oGARENIzTU1NisOtKA87HosTXFkhk8vidrsxm0zyfSLllUwkiITD5C0WeaqxWCxrNugKylwPhUIS6WY0Gsnl8+TyOUwmE3q9Yc29lkol5ubmyOcLWG1WTCYTNpsNg8FAOByW6T/RTOpwOPD5fGi1WlpbW/F6vbz22mskEok1AotXmkijOpwO+TzsdjulYhGny0k8Fr/uMxEnnkwmQygcZmFhgZaWFhx2B6ViEb/fT3tHBw0+n5KqVd9czSmwHCAcDknWe1G71Gg0aDVama5LJpPMzc2h1WpxOBy43e41rQy5XE4hoE6liEajuFwuwmEllSnKC+Gwoqe2adMmalwueaqrra2lqakJk8mEy1VDd3c3qVSKZCJBsVikrq6OmhoXgWWLQmCrVYK1XC6HyWzCZDajrQq+Xrp0ifPnzxONx8jcAmrz59Xe1ycuRRF1ihdeeIFisUitu1bS3ZRLJQr5PE1NTdjsdgnRXVxcZGpqio0bN2KxWCiXy3g8HrZu3Up7ezvz8/NS1E8suGxOITv96Ec/is1muyYg4kZ2ZUonFosRi8Xk4hkdHWVsbAy32y2h5cLK1XqEkmosyvtMJBIsLi4SWFpidnaWpaUlXC4X6SoLu7gHUft65OGHaWlpYWV55Q0b0bFjxzh37hz19fVyYYuaTiwWIxKJcOzYMS5cuMDMzMwaccZSqUQkEpEaRi0tLbhcLlQqFdlsloWFBSYnJ2UKVIzFwMAAHR0dGAwGenp6yGazHD169LqOKxAIcOjQIf7kT/6EXC7HwMAAH37owzfs1Hc6nQwODuJ0OrHZbDgcDrq6uqipqUGjfWMMNzQ0hM/nY25uTsJ+hcNPpVIEAgFOnTpFJqMIIFptVnkNlUqF+fl5pqenmZ2ZUchUq+mn1erBxYICspmcnCQej8sah7Wqv5ZKpQgGg8zPzzM3P8/i4iKRSKQq7AihUOiqm1g2m+WFF14glU5hsVjIZrOYjEY0Gg2RSIRUVdl5ZmaG4eFhslnFuep0OlpaWmhpaZEgo1xV8PJqz0Sj0dDa2oq7VglUBgYGMBqNGIxGGpua5OnlWiYcdblcJriywrFjx1i3bh3btm2jt7e3KuujkDQr93yDLauaelxYWODc+fPs2rWLjRs30tjUxNjYmBKUqpDXNTc3x89+9jNcLpckMRZBg6hRLS8vMzc7y4ULF5San8lEvjoXlpaWGBsbY3h4WKljFotMT08zMjLC4uIidXV1UvPO5/ORTqWIRWOy9mWz2XC5XGtKA4KUuFwuo9Pr6e3rfR2Wn82Sy+ffdtLiN2OCpPidsPf1iauiAq1OKxfZ8vKy8ge1IhRHBYr5AnqdnlqPWwo8lstlwuEwRpORSCzKV371qzz88MM0t7bwmc9+hr/5m79Rom61Cp1ez4mTJ5mcmqKnp4e77rmbO3bv4vd/9/fe1DWr1Ko3RI1Xikqu/u8b3q9Smg9ff9+q95ZX8aZVFJValUq5h/HJCf7Xt/6S3t5eNmzYwK5du/j6r///ZB1Pq9XypS99CZVKxf/8X/+T5ZUVUpm0HMdrXdPqhb4a3aY3GvDUeWlsbFTut6RcqkqtRqVRU1GhiG+qVKSzGVaWl/nZcz8jl82hUqmoqamRm7zoHRF1gsGhQZKpFONjY/z5f//vPPLoozzwwAM3TCPp9HosNiv/9I//SCqVwmyx0NXVhc1mY+PGjZw4fvwKFJoC3GlqaV7jFCuVCl6vF5fLxUMPPcS3v/1tzp49yyOPPSrnDaJJVPX6e1arIArhQFRw7733SmDD2MQ4Xo+X+ob6VWN69Xmg4tpoQofDwb/7d/+Ogy+/RDgcVtSd87nqdfH6f1VQqpSVQ6JK+VwBRhDs5Vc+29VmMBjYtm0brxx6lampKcqlEuFwmMbGRvbv38/C3Px1ARUajQaXy0UgEGBhYYGR0cv88R//MbFolBdfeLEaFL2u4KC5zjPWarWYLRYAwqGQlMzp7OykWCxy6LVD9Pf343Q60RsMaPU6dmzayJNPPsk3vvENpmamaWppVtaXetVP9fldGSCsGY8r1sbqtVIul9FqNNhtdrSaKpimOvapdJp4XDmVqrX/f/b+O0qu677zRT+Vc47d1dU5BzRyIIIAkACzRImyLVPB1tgj2ZJHGsvP42cvjcfLM/fpzrqyZ+7YGnmtuRrL10qWbUpikESJmQRBIsdG6JxjdVfO4f1RvTerG43ICBHftXoRrKpzzj4771/4flWoNOryOOHNseVyubHYrGi0GlmX76fgDGFl2b59O4ODg+9IWsZq3NYLV1NjI/FYDLvDIXesKCAej6NfHlBlfq0l8vk8be3tQNlk9PLLLxONRnE6nbjdbgAZIuvxevF4vVgsFuwOO1VVVVRXVxONRllaWqJYKKDX69m3bx+pVGrN3JNKKFVKOUn6q6oAcLqc6HV6PB4PZrMZm82G3W6nurpaRlFpNBo5ceRyWRYXF+nt7aVYKDI9OUUgEEBvMJBKpzAYDNgddjweT3lnl07h8/vlO9jsNlpaWohGo0QikTWj8Gw2G2aLmc6uLrQ6LXa7nc7OTpaWlnC5y6ZDj8fD4uIihUKB+fl56urq0Ol0JBIJfD6flIc4/MbrBINB7HY7Dz38MOFwmEgkwtjYGE6nE4vFQm1tLcMjw1RXV7Nx0ybSmQyRcJhkojyYGxoa0Ol0PPHEEwDSl9Td3U1qWfLD6XSSzWY5efIkWq2WTZs24Xa75TVQngB6e3tpamrC4XBQLJXI5nKoliMIGxsbsdlsTE9P4/V4sDscBINBhofLZVu3bh133XUXNltZqFL4GES+X2trK4VCAbPZXPY9WSy4XC6qA9Xk8uVIN6vVisvtxuV2E4/H0el0uFwu2tvbMZlN2O12/H4/hVIRv98vT6xutxu/z086k2F0ZAS9Xi9/azAY8FWVdeNsdht6vV6akIVpt6GhgUQigcFgkCfbZCKB1WrFYrVis9sJBAJ4fV4ZOTk2NoZGo+HjH/84Q0NDNDQ0YDQaqaqqIp1Oy42Ey+UiGAzS0tLCmbNlP5iICtXr9WzcuJEXGhtl1N3c3Bxzc3MypF2j0WCz2ejs7MTlcjE+McHJUycZHR1lfn6egYEBGa3odrtpa2sjk85gNpvZv38/v/zlL1cE8bjdbtrb22lqamJxcZGZZc23SCTC9PQ0Wq0Wn89HbW1Z281qtco27ejowOv1lk1znR0yOtLhcGAym8nmctTU1ODz+YjH4zhdLmlarPL7yWaz5X5ttmC3l+eMqqoqeYoNhUKcOH6c3t5eFkIh8vkcwyMjLMzPE41GmZqaorW1Fb/fj9Viwe5wEIlG8Xq9XLh4AbvdziMf/SiXL13Cvzyua2pqmJ+fl23+XkK4AkTkreinANPT02/7827rhas6EJBhwydOnmR6agpKMDc3h8Nup6Ojg5///OfMzs6yuLhYDhpQa1AoFbz44oukU2nMZrN0fIZCIUKhEFarVWpnmUwmgsEgzc3NHDp0qGz2WfZz7Nixg6WlpesvXEoluuVBo9Vq0Wi15UnDYpUaWyaTCZvNhs1mW6HrJRaubCbL/NwcFosFt8eNx+ORPgulsuyH06jL0ZB2u70czWaxkEmXfSA2m42uri5effVVpqenWVpausI3l8lkyuazpmay2SxqtZr6+nqZDpDNZrHb7VJUcXx8nMbGRrRaLf39/ZLhwGq1MjU1RWhhgWKhwM6dO5memmJyaorFxUV5P5fLxZnTp9Hr9dTX15PL5ViYn2d+bp7Lly/T1dWFw+FYsQgVCgWqqqrILy+c1dXVxONx3njjDdRqNevWraOpqYknn3xyhS+tpaWFQE2grI6tVKJcpskKL/s4xQSm1elkwviJ48dRKBTs3buX7u5uyUQyPT0tdcvUajVVVVUUCgXS6TQOpxPTcti63W6X4dPZbBa9To/NamNhYUHWb119PcVCWTvK6XRis1rLi4rFgsViwWg0yjB5g9GIRq2mUChgtVrLpxW7A41GI9teTGLFYpGlpSUcdnuZlqdYxO12UywUmPJ4Zb8ym8047A4MBgPK5VPV5cuXUSqVMjHYbDbLCMr5+Xm5cAm/mNVqxWg0odfpSSWSy0KuJbweLz6/H82y3+zixYuk02m5cKnVarkgCj21fD7PuXPnmJudZWBgAJfLhW45KKOqqorRkRFMRiP33nsvx48fX7FwWa1WmpqacDqcMgrw6NGjpNNpEomEZAGxmC2gAONyRGY6nZaLczKRpK62llw+v1xvZROlcdncZ9DrpemvUCig0+lwOp3kl5PYc7ms3IiK6EGFQsHc3ByHDh0qb56cThYXQ1y4cIHZuTniy6Ktu3btoqamhnQqJS0nNpuNEydO0FBfz57deygVixgMBnK5HB6Ph0gk8q4sXJVpF8KyIbTqpNVFfK9S4XKXNzUiBUb4DIVGmlJZ9jHfamThbc2ccfDgQV577TWSySTFClOMEOwTg0F8ZjQaZUi6FHhUKTEa3tQwEp1AhJrn83l5L+FEFj4dw7Kz/UY7jtiNlEolCsUCChQrngNvmgfWkqZQKBSYTCZZzkrTWKFQkPcXnUOEGovcK5EfkslmySwLZFaicsckOpnwx1SWU5RL7LKAK8oj/FgiH0jkmBVLRVTKleUUC7XRaJQUSXV1dXR1dWE0Gvn+97+/opxarVZOqIuLi7I9RHqDSqW6Iket0v5eafIR7ys+F78TQoRigBkMBpqbm2lvbyedTnPq1ClGR0cxm81yotbp9aSSSXldpQCpyGMTn+n1ehRKBblsTuaDGQwG4vE4KpUKjUZDIpGQ/aFSPkO9vHiVOwUoFW+KJ1ZCpGeIyVmr1UrtKJFzV/nOQmxRvLPZbCaxrCat1WpJVUyooj+uFm+s7MOiH4v2FX6byn4t+ogIPxd1J/rQ6nEj+pXRaCSVSq1oS/HcyvZbbYZXqVUsG2nlmCn7zt40CYoAItE3xTMqJ2yR/1XZLuLZog5F/YjrRaCXuE+lSK1SqcRisaBQlIVCRVuJhUGn06HT6WT/UCgUt0RJdqsQJtZ0Oo3H4ynnE6aSHDlyBJVajX35oHD58mVisRif+9znsNlshMNhfvazn2G1WMjn8tLy4na7qaqq4tlnn/3g6XEJzr/VA1Y6vismWcFesXqAF/IFyWlWmcNTKBRkhxOTt/gT19/sbmG1jbxEacVzgBUDYTUEP5go5+r7XXH/inuJcq9+h0qIQVJJDrtWfQhUCuitVR7x/FgstmIhXqvcleUrlUosLi5y8uTJNf1WYgIU/ISV7yLeYTWuVqfXq8PKxSafz8vTopjQ4vH4ijoW169+3mpneiaTkROsKLcIdhH/rZzMr3WvImu/W2X/r2xz8S5XqxvxzpXttlafuVr5xO9FXYjfrNUGq8uyVnnW6ldiLK/13NWfrbhXfuX3or4r+8zVEmlX33t1uSu/v9q7inZf6/cimrlyAy3qWGzoKvNA380zh9vtlqS6fX19WG1WNm/dUj5RhULkcjn2799POp3m9OnTzM7OSrPy9PQ0XrcHk9OEx+Ph0KFDWK3lVJNnn332lspz2y9clTuiSqyVmX01iqUboV4SO7FKvBes0W8lDHatd1j9/c0OhhupgxultqosW2I5/Phak91a932rGflXw1qnicrdNNxc26wuZ+UEvtYEfKu43mR6LVxrcbsZvBNt8naOvXeqz6yFa5W7sr5Xl6dy4X8vjGTCBeD3+zl69ChanRaX00lTczMlyn6s1tZWDr/2GsUKxpBwOEx4KSzz9XQ6Hbl8Dq2u7Dq5VdzWC1c6nSYQCDAyMvJeF+UO3ma8X9i4BYTPRJggRc7d+8Exfgd38E4jHA4zNTVFKpViaGgIxbCCdCrNjh07mJqYZG5mlkIuT6lYktHc4q9QQaUmGD9yuRzx5K0Tf9/WC1dfX99bkga5gzu4USQSCfr7+5mcnATKkat3+t4dfFCwOk3HYDDg9/sZGhp6Mw1pFSpTKITPvdKfeCUlw43jtl64otHomp9XUgq9G3i3n3cH7z4Er9/19NluB/wq9NdfhXd4q1gr//OdhEajwe124/P5JIn30NAQ8XhcRmIbDIZyykUySfUy24kgzwaoqqqipia4TLJguOWy3NYL11qojFJ6N2hRRFLse53JLnwu1wrueL+gMmH5g05d825DRAy+1/31rUCMuavRUH0QIOpABPi8HarC14PJZGLTpk1Eo1EWFxdJpVKcOXMGm81Ga2srTqcTr9eL0+lkamqKvXv3YrVauXDhgkxH2rlzJ4lUUqaf3Cpu63D41TAYDDQ0NPCpT32KyclJvvGNb7yj5WhoaKCnp4ePfOQj/Omf/ulVj8xvB1wuF+vWrePo0aMyRBnKeTg+n48vf/nL/PSnP+XkyZPXZFZ/LyHkIz71qU+hUqn4/ve/z+zs7G09id4MqqurcTgczMzMEI1G3/X33r59O/X19TQ0NPDNb35T5mO9XTAYDLS2tjI/P088Hr+qReStQOTpdXR08N3vfpfR0dG3/Rnvd1RVVeH1emWSeigU4umnn35Hn7l582bq6+upra3lqaeeYn5+XipWC1kioWIgaN/cbjcqlYr5+XkKhQImkwmfz8dSJCxTJCbGxj944fCrIcKT7Xb7u6L4K3LE/H7/dXny3ipUKpVMaKyEiK6zWCzo9frrcsO9lxAJi3q9vpyIfQ0G+PcD7HY7CoVC8jze7B5PyK+IAS7yzzQazTsm8FmJysljZmambK5RKPD6vO9IfxWEuUJX7p2ASBvw+Xzv+/4j1NGnpqbe1k1KIBCgrq6OiYkJqd32TkO0ZyKRkOw7wrIj5qDVmwixkRenwWg0Wk4yL+SXU24/oD6uSojEv8nJSWKx2AqONQHhIKzMUxJYnTwrrl3rt+I7QWEjElBvFlebvFYnaIoExdX5SWJSjUajshyrv1+dCCuSWcW/VyeEVl632ux4rfq4EZRKZVLghYWFK9jvKx25q+t/dVLqWr8VuJrJtLLuKh3Ga/UB8XkwWOYoDIfDTExMXJHsWlkecX1lsml9fT35fF4OWFHu1X+iX671Pqs5Am+m7tVqNc0tLegNeubm5xifnMBqt0FFSP/V6vBmn1V57Qq+x4p7Vfad1Y77yvdd3f6VZREKBpXfr/Z3Xe05le+51jhY6/pr1cvq96zMfRQcjJs3b+a55567qtzRtbDWeFMoFLS2ttLS0sKPf/zjd83ULkgYgDVz+tbCWvl5b1e08G29cFV2uLq6Ovx+PzU1Nfj9fmmm2LhxI4VCQcozVFVVYbPZOHv2rFQc1ev1bN++HaPRSDQa5ciRI2XFVJeL7u5uJicnmZiYkGKDBoOBtrY2ampqaG1tLbMgrJH0er2yb968WQ7CycnJMuWPzcbg4CClUklSIQ0ODq5gwBDvXVNTQ01NDfX19dTV1WFaJhgFpABhU1MTp0+fJhqNks1m2bBhA+FwmFgsxsaNG7l48SKTk5OyvsxmM42NjbS0tDA/P8+5c+dYWlrC6/VSVVVFIBCgr6+PiYmJm9pFut1uyTfX1dW14kRsNBpxu910d3czOzvL2NiYFDi02WwMDAzQ3d2NQqHg9OnTktfR7XbzyiuvyCR0s9lMQ0MDHo+HXC4ny65QKGhra5NMKm1tbUQiEaamphgZGUGtVmO1Wtm8ebOUwxkcHOTRRx9Fr9dz+fJlXnzxRamWHY/H8fv96HQ6XnzxRfx+Px6Ph8bGRl555RVisRgGg4HHHnuMZDLJ0NAQL774ogypF5IsWq2WhoaGMuGzXo/P5+PVV1+V/dJisdDY2EhVVZVMto5Go1y+fPmqbO0COp2O7du3c+/992EymcjlckxNTcnJcMOGDTKJ98iRI1Jx2Gg00tnZKbkbh4aGpGXhWhC+ZcHQYjQapRBkoVAgkUhQX1/P0NAQY2Nj+P1+AoEAWq1WprOYTCYCgQCnT5+Wis/Nzc0kEgkWFxfp7+8H3lzoqqqq0Ov11NTUMDQ0RDabRalU0tTUxNTUFJOTk5jNZurqyjpXYsxbLBY6Ozvp7+/H4XDQ1NTE66+/LqV/gsEg58+fZ3JyUiYnOxwOenp6UCgUzM7OcvnyZTo7O2WyeFtbmxRyHRsbo6uri3Xr1vHwww9TKBTo6+vj8uXLNzxeBM+h3+9nZmaG2dlZQqEQ7e3ttLW10dbWxj333CNFTd9JCKYOQXhtMBjK9Fir2GneTdzWC1dTUxPj4+OsW7dOCjmOjIysYICw2WyST+zYsWO43W4aGxvlsValUtHU1EQkEiGZTJaJN+12bDYrgUANU1NT1NTU0N7ezj/98J8kUWsmnWFqaqpMJHmTi5bT6aSrq4twOIxerycQCJDL5WhsbMTn8zEyMkIqlUKj0eDxeBgaGsJsNrN161ZOnTolpb7FhDYyMrJChtzhcFBfX49Op2NsbIxdu3YxOTnJiRMnuOuuuxgdHWVwcJBCoUBnZyfBYJBf/OIXNDQ0yEkuFAqRTpe5HD0ejzTvZTKZMlmw38/hw4ev+64qlYqamhpcLhd6vZ7BwUG2bt26govNZrNRV1fH9PQ0fr+fjo4OnnjiCVpbWyVJrFarxWaz8ZGPfIS+vj6MRiPBYJD29namp6eJRCLs27+f2dlZZmZnCQaDrOvtZWlpkbNnz9Ha1orJZCIWK8uy1wSDdPd087//9/+mubmZ6upqFkKhcn/R68nmcmRzOfKFPLNzcyQSCWpra+no6JBsEul0mvb2dvR6vSQzbm1rY3Z2hpnpmbKUfDzO3PwciWSChoYGampqZP06HA4OHjzIc889B5Qnq66uLsYnxpmdmeW+++9nYWGe0GKI3nW9RKPRGw5KKBaLRCIRMpkMarWamZkZyY9osVjI5fPY7DYCgRqWlpYk04Hg34xGo+zevZtkMsn09PT189UUoNPraW1rQ6lSsrAQori0xK7du1lYWOD06VN4fT5QKNAbDExMjLO1Zhtut5vRsTHS6RRGk6lMbm21YjQaCFQHGBwcpKqqinXr1klVc4F4PI5arWbTpk3MzMyQTqfJZrO4XC5p0hILX6FQ4KGHHuKFF17AYDCwe89uMtkyi4VCpeT+B+5nenqa+fl5aoI1ZHNZdHo9/Zcv09XdjclkYn5hnvb2drQ6HSVgXe+6ZTNwkngiQUdnB+0dHXz3O98hkUhI5pH5+Xkikch1xwq8KXba2dlJPp9nbGyMnp4enE4nY2NjhMNhUqkUmUyGiYmJdyWPsFgsMjY2xuLiIgpFWebovfZL39Z6XI2NjZjNZnbt2oXFYiEcDnPhwoUV/gij0YjT6aS6uppUKoXVaqW+vr5MLupw4PP5aGlpYXZ2lvHxcfL5PB6Ph2BtLfUN9UxOTuL1ernrrrtQKpW0d3SwrreXZDLJ8PAwExMTa6obXwsul4s9e/aQTqfJ5/NlIb5lwlKx4IhIIUFuK9i2TSaTZBUXztCLFy9K3jaNRoPf76ehoQGHw8HY2BgbN26kra0NpVLJhg0baGpqwmKxsLS0RHNzM9u3bweQC4XQBxMnge7ubqqrq9FoNMTjcYLBID09PTf0rkLFNxAIoNfr6evrY3FxUW4u3G43wWCQxsZGZmZmsNvt7Nq1C6VSSX19Pb29vTgcDrLZLDqdjoceegiLxSIHeEdHBzU1NVhtVvbs2YNGq2FsfIxiqcj6DevZuGkTUKKuvp7mlhYaGhtYXFrE7XGz50MfQqPVUt/QQFd3N/FEnBIlFEoF6UyaWDzGQijExOQE0WgUo9FIa2sr3d3dUmS0vr4eu91eJsM1GGhtayVQUyNPR/Pz80xMThKJRrHarDQ0NJQVqnU6bDYbu3fvlsKRJpOJjq7OsqCjRs1999+HZZmw2O/3S9WAG5Wwn5ubI7qspTY2NiY5Co1GI/FEHLVGQ319PS0tLXg8HqxWKzt27KBUKhGNRtmwYcOa2nBXg1anpam5Ca/Ph8VqQalUsHnLZpqamygBBqOBYG2Q9o52lsJh7A47wdogGq2GfKFAoVhAq9PicDoIBAI0NzfL05jgiax04gv9submZozLxMZicTaZTPI0lc1micVi7Nu3D7vdjtVmZdPmzXh9PtTLffrue+6huaUFFAqsNhv1DQ00tzSjUCro7V1HR2cHC6EQRpMJn99HQ2MDLa2tNLe0EKwNMjc/R319Pdt3bEelUhGJRFhcXCSRSJQJp29Qw0+n01FTU0NLSwtGo5GBgQH5/83NzSwuLhKLxUgkEgwNDb0rp55SqcT4+DgXLlygr6/vfbFw3dYnLiFjsHv3bl5//XXGxsYkn5/YmSWTSekwhjIjgzBTbdmyBaPRyNmzZ6W43szMDJ/9N/8Gq63M/rxr1y6Wlpb4+c9/jkarpaurC6/Hy//+f75FqVQikUyWTVU3aL/W6XT4fD62bdvG1NQUsViM2dlZhoaGCIfDeL1e7r77bqanp5menubxxx+XUZRLS0sUCgXa2tr49V//df78z/+c+fl5KZuQyWSwWq3cfffd5bIlEuzZs4dDhw4xMjJCMplkaWmJwcFBjh8/TjweZ+PGjVRXV6Ndfrd8Ps9TTz0ly6vVavnKV75S1kq6eJFCocDY2NhNDcTHHnuMH/7wh5w4cYJisSgVdQH27NmDxWKhWCxy1113kU6neeqpp4jFYkQiEWZnZzl69KgUjPzYxz7G5cuXicfjRCIRdu7ciVKpxGq1EolGSKdSxONxXnzxRR544AG0Wi3f/vu/Z3Z2Vmb/X+jrw+/309zcjNVqlSeMv/zLv+THP/4xp0+fprS8ccjlcqTT6fLpKRZjcnKS0dFR+vr6pO5QdXU1gUCA+sYGrFYrJqNJcvXlclnS6TSFfF6ebAAWFxdRKpVEIhH6+/uZm5tjYWGB+x98QGpzud3uMrltOi3Lf6M7dxEIk8+XTVnZZULW9PK9hoeGmJ+fJ5/PU+2vQqlUSgLVrVu3Mj8/z3PPPScVnm/oeZkMk5OTZDIZMuk009PThMNhJicnOXf2LNlslvXr1xOsqUEBvPHGG8zNzXHw4EHGxsaYnp7mRz/6ER//+McpFopcunSJQqHA0NAQarWaBx98kJ/+9KcrondnZmb413/9V3p7e2lpaWFqaopf/OIXrFu3joMHD1IoFOjq6iIej/P4448zPj6O3+9ncXGR06dPy4TyT37yk8zNznL61CkAuru7qQ0G0RsMdCzLrkSjUdLpNIuLi4yPjxMIBIjH40xPT3PxwgXGNm1Cq9NJOQ8RSJLJZG44XN3pdHLgwAEGBgaYmpqiWCzy2muv0dvby/79+3nppZdk37pV3/qvAm7rhUuo0jocDvTL6q7CVr86Y3utaDutVitDNAcHB+XnSpWSbDZLOByW9naxyzWbzVhtVvksKJVF326w/whfgE6nK8sazM5KeQ0xgd53333kcjkZVryaKV74SWw2mxShq3TeKpVKwuEwMzMz5Um4VFqROLsW6alKpcLtdks/2mpG61gsxsDAAEtLS+WJ6QadrAqFAq1WK2U6BIeZrGulklwuRyQS4cyZM3KwryY6Xc3VJgh55W9KJek3Yvn71ezZlc7zys9DoRAXL14km83S3NyMy+VicHBwRb6ZuB4gXyyQL+TRaDSs37Aek9GERqthZGSEurq6KwIqrub/LFEqC2qWihSKxbJigKIsQJnP5zl06BAGg4FtW7eSyqQZHBqUE+0NQ3Hl8yU57rJ/BsWbQRViobh8+TKlUomFhYUba+tS+U9RevPfpVJJCpoWi0WK+cKyuKkSSjA+OoZGrea+e+8lFo0xNzNLPBajkCvXrclkWhFYkUwm5fgWiEajnDlzhh07dpBMJqV6uTgRLC0t0d/fz8zMjAwO8vn98p6FQkEaSyr7ValUQrHc/jqdjkwmw6lTpygWCqQzGelXLZVKlMR/xfvCivF4MxD5p0LORnyWy+VWWJJu9r6/aritF65EIkEymSSTyeB0OgkEAoTDYRlqbTAYyGaz0u/jdDoxmUxyUAg5jLq6OoaHh9FoNCtYmrUaDZlMprxjXp5Mc9ksCqC2tpZIJILZZEatUqPX61foZ10NwgQoTHu5XI5sNis1g4rFonTiC5u+kF4Q71QqlYhEItTW1soUAPGdVqslEonIBUyYI3O5nLyHTqdDr9ev+EwwnhsMBmpra6VkuxjsuVwOtVpNOp2WvoQbQbFY1oWyWq3U1dWRSCSkv6xSNkOjKau7Cn+E0CMTUixiARWf63Q6maVfLBZJpVJotVqMJhNWqxWNVks4HJb1IN5ZpAxolu9jMBhQKpWkUilOnz7Nxo0bsdvtMklXqVTKjZFer5fPVWs0aLQaGhsay/0sl2V0bAytVoveUN5Elc1WGhwOR/n5Or1kFzAYDW+WRaNBq9OiX24/zXJi6dzcnBRSXFpaIr7sN7lR5PN5VMvvbrFYMJlMMhxfpVaj0Wox6A3odXqKxSLpdFo64cUpQTDxXw9iQyak7Y1GIwa9AY16WStMoy3XoU6PdjkdYGlpidBCCKvFinJ50cxmsiwtLeF0OuV4NRqN6HQ6pqenKRaLsp+LxP/JyUn0er1cdEQ/ikajaLVaqSIhTj3a5f4u2lS5vLFVL39uMBjkeBbmR3HvTDpNepmpXafTyeAu1fL1muXrhYqDWq3GbDavEPm8FoT/U+jzmUwmTCYTmUyG2dnZFakkOp1Olu2dhlqtloFhlZGjwhcvFvfKTb5Go5FqCmLjLFIlxEn0Vst+Wy9cg4ODTE1N8ZOf/IR9+/Zxzz338MorrxAIBMoS793dTE1N0dbWJs0GNTU1OJ1ONm/ezJEjR9Dr9Xz1q1+ls7OTmZkZRkdHeePIEXbt2sVv/MZv0N1VjnSbmJjge9//Hm+88QaZbJavfe1rvPrqq1gsFmw2Gx0dHZRKpesmRGazWaanp3nllVf4wz/8Q9LpNJOTk3z/+99namqKdDrNyZMn5S4RyuYDv9+P3++np6eHubk5/uVf/oUvfvGLjIyMMDo6is/no7OzE61Wy09/+lP+5E/+hIMHD7Jz504ZjNHf34/P56O+vp729nbC4TA1NTUy2/306dO0trby13/915w6dYqLFy9y+vRpfvSjH7F3717+8i//knPnznHmzBkuX77MG2+8cd02SqfTfO973+Ohhx7innvu4cUXX6S9vZ1SqcTWrVs5dOgQvb29/Jt/829kVOH09DQvv/yyVJ5ub28nn8/T0tIidXwKhQLr1q2joaGBoaEhBgcGiEQiNDU1YbfbMZvNnDhxgrm5OQxGIw0NZTOe1Wrl/PnzeLxeAoEAXV1d1NTUYLFYOHbsGBMTE8TjcZLJJGNjYzQ1NfHII4+QSafL0ZatrVhsVhkQksvlWLduHQajEYPRyMaNGzGbzLxif5mJiQlq62r58Ic/XI6SbG6ira0Nm81GoVSOgnS5XPj8fgxGI93d3dTX1zMxMYHVZuPee+8lGo0SCoWw2+1lJWG7gzdef/269S6CM/TLG5F9+/ejUqmor6+npqYGh8NR7k/revC6PQwMDDAwMIDT6eSxxx4jlUoRCoX4zne+w9jY2HU3KiJSsqWlBYfDUVaaLpbVnEVEaldXFy0tLTidTsxms1QcP3nyJEPLpkuAZ599lh07dvDwww8zMjKCz+fD6XTy+OOP09zczLp16wgGg3i9XmZnZ1laWuL8+fOkUimZtnDp0iVSqRT/1//1f7F161Y5to8dO0ZVdTV+v5+WlhYpyOn1evH5fARqali3bh3Nzc3SD3v69Gm6u7v567/+a4aHh7l48SLHjh2jtbWVdDqN1WrlzNmz+Hw+gsEg3d3dHD16lGw2i9frZefOnbI/Xg8LCws88cQT/Lt/9+9km2/atIkLFy7w8ssv097eTn19vTR1j4yMvCs0ZF6vd1kw1Cg3/yqVitdff10GSZ0/f56ZmRlpzhZzVnNzM88//zzFYpGGhgbZboODgywuLt5SeW5r5gwhPFhVVSX9ArOzs/h8PjLL9vZsNovH4yEQCDAzMyN3UktLS0QiEVQqFY2NjeSXGYyj0SiRaBSH3Y6/yk+hUCSRiBOPxZmZmcHpcmKzlulKZmdnpYlNcHbdyK7KYDDg8Xjwer3k83npwBUnnPr6ehnlmEwmpcR5bW2tfCeFQkFDQwPpdJpUKoXZbCYej5NIJIhEItTX12M0GikUCtJ/l0wmaW1tJRqNsrS0RC6XIxAIoNPp6O/vx2azycl0cXFRsh/o9XqcTicOh4NUKsXS0pJML7geFAqFlEMwmUwsLi5iMpnkxBoOh6UMuQibjsfjhMNhqqqqMJlMjI+PUywWZSRhf38/pWXToBCTXFxcLCuuCrPU8i47k82QTKaoq61FrVaTyWaYm52TcvBTU1PlPqHVUMgXUKnLqqxTk1O4XC5MZhNms4WJ8XGMRiM2m41sNktoMUQymcTpKN9HpVaxGFrE7fGQTCQYGRnBbrdjMpnQGwyMj49jX65fESygUqkI1tYyODBAPp8vBww5HWUpiHCY3//CF5icnGR6eppCLs+uXbvI5/N8/etfv+Gx0tTUhMlkkpsgnV6Pw+FgoL8frU6Hw25Ho9UQWgjJFAS9Xi9P9SKi8HrThEKhkKd1Ebofi8VoaGggFosxNTUl+5dGo2FgYEAGE9XW1koKoVQqhUqlkpRAyWRS5jLNzc1hNBpl+sTo6CjxeJx8Pk9tba3MmUskEiiVSvR6Pa2trUD5JCNM8Tqdjtq6WsbGxslmMyhQ0NjURGhhgfmFBZxOJ0aDgWKpxMjwMC63G6vVisvlJBqJEovFCEciVFVVSZP03Ows1dXVmMxmZqaniUajMm1G+LJvdLyoVCqZQ5jJZFAqlZInU/jIDQYDg4OD0hr0TmPjxo00NTXR1dXFyy+/jM1mY9euXRw6dIhIJEI+n+eBBx7gySef5OjRo2zatAmlUonRaKS+vp6p6SlmZ+cYGx/jz/6/f8qxY8f44Q9/SCaTuSXmjNt64aqEVqtFoVCsUHetVFAVYcRiEKxOJtVqtdKhLT9XlkN3c9ks+Vx+xe/1er1caN70d90chHlDyMALCIXb6zWNYA6QPotVvi7hCxNmixuBUqmUkYyrEzYFz12lOeBGIXJ8Kn1Mq5M+hST5W4lYEjvBmzWhiKi+ZDK54t0ENc21ThyVfU+j0VAqvamtdSvcgEpVuSy/+2//LWfPnuXy5cuoFEp+7dd+Da1Wy3/5L//lhu8lcnBupD8J6PV6lErlu5ano9ForhriL0z61zvxqdXqNflJxdgW5uBbhTA3V6ptXw/Ct36jCburoVaXXRCVFG/vFTZv3kx7ezvbtm3ju9/9Lg6Hgw9/+MMcPXqU4eFh5ufn+Y//8T/yne98h+eee47e3l45plpaWkhnM4yMjHD4tdf4678qW3R++MMfsri4+MGmfKrs2FdT2L0aSqXSmg7oUrFEKnHl4BWRiwK3SnB5tdPZrQgvroaYPG+2bMLXsdbnb4XM80ba4O2YKG914ROKv2t9fr1Js/L7tcRGb3bS0hsMuNxu1q1bx8DAAAsLC9gsVhlddzO4ld34u60xdq32ulHqtqv1y6uN7ZuF8KPeDERQxa1CKBK8HyCCvURUbSgUoq+vj+npaSYmJpicnFxR1sOHDxMIBKipqQGQfj7hS06lUnR1dfHKK6/cUnluKo/ra1/7Glu2bMFiseD1ennkkUe4dOnSit+k02m++MUv4nK5MJvNPProo1eQvo6NjfHggw9iNBrxer388R//8bvCbnwHd3A7IJVMMjM1zeP/8q+YjSY++shH6e7u5tSpU/z85z9/r4t3Bx9wCItJoVSkpKCcw6p4M0rWaDbxwEMPsmXrVnx+H+fOnysH/ixf++qrr5LP57nvvvtuuQw3tXC99NJLfPGLX+T111/nl7/8JblcjoMHD67YFf3hH/4hTz75JP/8z//MSy+9xNTUFB/72Mfk94VCgQcffJBsNstrr73GP/zDP/Dtb3+bP//zP7/ll/hVRyUn2+2Gt6vMt+v73wpKxbLJ+uLFi4yMjDCzzOiwsLDwtjO6v5sQZsv3CkIG5EbwQepvNwK73Y7H48Fut5cpn5YTvF0uF9bleAOjyYTdbsfpdGK1WgnUBKgJBjEYjXg8HpwuFzq9XhI+OxyOWy7PTdkdVu/2vv3tb+P1ejl+/Dh79uwhEonwrW99i+9973vs378fgL//+7+no6OD119/ne3bt/OLX/yCvr4+nn32WXw+H+vXr+c//+f/zJ/8yZ/wF3/xFzJR+EZQSQYr8FZDQ1cTbr4fIAacMLdVks/eLCr9TO8khG9IhOS/FYj7vFXTy+2EYrFIf3+/5Od7q3g3+7WY8FdP/iI95d1Wjhb+XvH86/loRd8Vfss7KEcI1tXV4Xa7y/RmNht+v5/8ctBLOBzGZDLJCNJsNovf75cBdIJw2mwyEwqFiMVib0kh4S35uETYo9PpBOD48ePkcjnuuece+Zv29nZqa2s5fPgw27dv5/Dhw/T09ODz+eRv7r33Xn7/93+f8+fPs2HDhiueszrhVUTn3H333dTU1MhyxONx+vr6mJubu6UJzuv1sn79eg4dOnRLMhZvN9RqNW63m9/7vd8jl8vxj//4j8zNzUnyXHHkvhEoFGXZ7O3btzM2NiapdN4JKJVKDhw4QGNjIzabja9//eu3ZApWKBR4PB4+97nPMTY2xvDw8C3bxD+oEBF6Gzdu5OjRozfMvPFWEKytxeNxUx0I0NrcQjKZZH5+nsbGRk6dOsWpU6feUe261WhtbSUYDFJTUyPZT16/SkqBTqfjnnvukeTA3/jGN97zeeD9gF/+8pe88MILqFQqGel58tRJioUiuXyeQj7Pb336M3JjoFAoePnFl1AqlcRiMZ748U/KRAPRCJTK7iLB0XkruOUlr1gs8u///b9n586ddHd3A2X6Fa1WKylPBHw+nwzHnZmZWbFoie/Fd2vha1/7miRjtdlsBINBAJnUOj8/z/T0NKVSiV/7tV/D6/Xe0mouQmjfDa2kG4FIhq4k0BWRSjqd7pqmDIVCgdlspq2tTUa9iciod0KzS4Tn+/1+ybggQrxvFSLARCRU38xp/FYh8pFqa2vfE70nwep/s1FWAgqFAq/XS1NTk/xMtPs73a9FG7W2teLz+xkaHCSVTknexmPHjknqsRu9n+BotFgst1QmQWLt9Xo5d+4cly9fZnp6esVvBIu9y+WiWCxKtnWTyXRn0VqGoMoTdG25XI5YtMyZmM1kKBQKhMNhksmkTIcQbECpVEpyLFIqRyg6HA6Gh4dvuTy3PIN98Ytf5Ny5c7z66qu3/PAbxZ/+6Z/yla98Rf5/NBolGAyi0Whwu92MjY2RTqdpamriox/9KC+88AJzc3MUi0UZJitCxUVY91ongNU0PcLEIDqvCGu+mslF3LvyOSIUViw4IvS9UgtIhIpXmjDE84XeVqXm01r2d5HlL8xpGo0Gl8vFhg0bJHXU6msrfQ6VtEaibsT7V6YXrA67F2XS6XR0dnbKnKqpqSmamprkZCbKVlnv4hQIXDViUTAjiJBmwVZQGa0nFuXVoceVcgyCFaUy7FpIcAgTbKlUwmKx4HQ6qaurIxqNSkot0UbifuIZIvy9UjtJUgkpFCv6hEA+n5emKHE/cY/6+voVk4Aol2jf1fUk3kE8V61WU1dXR1VVFRMTE/I3oj7EfSpNZSqVakWZK+vtWuZF0TfEOymVSux2O21tbSQSCZ5/7jk2rN9AJpNhaWmJ06dPS0uIYDyppO6S/U2tolQsm7NFrmJlfVytLJXtI+rTbrdL5WlB37aaPk2v19PT08Pg4CDxeFwKNBqNRpkmc7W+uxb92GpUjs3KviJOJqLcYlytHt+3q3m8sr4q23jDhg1MTU1x/PjxW773LS1cf/AHf8BTTz3Fyy+/LMMdoWwHFRx/laeu2dlZ/Mv8YH6/nyNHjqy4n4g6FL9ZDZ1Oh06nu+LzYrFILp+jUCoSjcdYXFyUzmsxWDdu3Eg8HmdqaopIJCKZM04tk2kKCBqZQqEgE+eMRiPt7e1yF9HQ0MCpU6fWVDQVZq1gMCiTZ8WuIhwOo9Fo2LJlC0ePHmVubk6GjjqdToLBIMFgULIXiKRpj8dDR0cH7e3tktTWarWi1+tX+AmE9pJarSaRSPD666/T3d3N+vXreeihh8hkMgwPDzM3NycXR5VKRW1tbTlBVq/HbDZTKpVYXFzk7NmzQJnFvrGxkerqapkULOqyMpnSbrezadMmPvrRjzI7O4tWq2V4eFguWlu3bpUpBEePHpWnR4PBwLZt22Ry6aVLl646SNVqNT6fj/vvv5/R0VFmZ2eZmpoCwGKx4Ha76e3tZWhoiNnZWUqlEp2dnajVai5evMiGDRuIxWKcOXOGpaUl9Hq9ZKLv7+9ndHSUxcVF9u3bR3t7OzabjVwux9DQEBMTE7S3t0sKIkHKXCwW2bhxo6TlcrvdJJNJZmZmuHDhAna7Ha/Xi9frlZyTmUyGgYEBye5vMpk4evSoTC79zd/8TdLpNP39/Tz77LMsLi5SLBbZtm2bZB0/evSo7LNut5vt27cTjUaZmJjA5/Oxe/duGhsbJcu/oBbz+XxSw21wcFDqV7W0tDA2NsbU1BRms5mmpia0Wi2nT58mFAqt2SYKhYLGxkaCwSBKpZKz585SKBT42McfpaWlhUQiwX33389du3aSSCRwul0y6V8QKi8sLDA/Py/15ywWC43NTbS2thJeWmJsdIzPfOYz8jfPPfccoVBozbD0lpYWXC6X1NoThNQHDx6ko6MDtVrNxo0buXDhwoq+6/P56Onp4eMf/zhnzpzBZrPJk4DJZGL79u2S+1PMGWq1GqPRyM6d5Xebn5/n4sWLV5zOhAVn27Zt6HQ6SesmxtyJEyfweDw4HA4sFoskITAajZjNZrnBOHLkyLvuF3wnIcbu6pPvzeCmbAelUok/+IM/4Ec/+hHPP/88DQ0NK77ftGkTGo1mhe3y0qVLjI2NsWPHDgB27NjB2bNnV9i4f/nLX2K1Wuns7LypwisUClRKFR6Ph87OTmqCNbzxxhssLS3JjPze3l62bNnC1q1bJUvG1q1b1zSzeb1e9u3bh9lsRq1WYzAYePDBB2lra5MZ693d3XR1da1ZFp/Px5YtW6T8SDqd5jd/8zfZuHEjXq+XXC7Hjh072LJlCwCdnZ3U1dWh0WiIRqPU19dz33330d7eTmNjIw6HgxMnTrC0tCR3L2LB2bdvHxqNhvb2dvbv38/8/DyBQICNGzfi8/mIx+MsLCyQSCQkm7tWq2XPnj00NDTI+2zdupUtW7YQi8Xo7Oxk8+bN+P1+GhsbaW1tpbW1ldHRUfx+Pw899NAKAlMBQWMlnjk8PCw53KxWK4lEgurqajZs2CAlQTweDwcOHJD8cwcOHLimhIaQDpmZmeHuu++WUjZut5uGhgZaW1u5ePEira2tPPzww+TzedavX8+2bduw2+2Sk/Jzn/scwWCQ1tZWNm3axOLiIq2trdx9991A2W87Pz/P3NwcMzMzqNVqtm7ditvtJpFIMDw8zMc+9jF6enpwOBzU1NTQ29tLa2srCwsL9PT0cNddd7FhwwZMJpNktK+trZVRWI8++ihGo1FK6dx3333s3btXsk3Mzc0xOjpKOBymqamJnTt3MjExgV6vp66ujp6eHpqbm6mtrcXr9cpcL6PRyNzcnGQ2ESKQdrtdKgao1Wp27Nghee7i8bic8G02G93d3USjUcLhMJ/61KfweDxXtIVKpeLuu+/GbrczOztLVVUVra1t1NXXS9HD8fFxzp49y8LCAtPT0wwMDBBe5tfcsWMHfX191NbWsmvXLqxWq3ynZDK5LKmzhFqtJh6PS3HRteQ0bDYb27Ztw+v1kslk6O/v5+GHH2bTpk2YzWYZjTk/Py8tM5VIpVLMzs6SSCSYnZ1ldHSUUqkkqY0E+8f69evp6enBaDRSU1PD/v37GRwcxGw2s3//fhwOxxWmZZfLxX333SeVDAwGA3Nzc3i9Xvbv3y9ZMQSXn9PppK2tjf3790vNvT179lBTU/OWTO7vJ5RKJU6ePPmWfew3tXB98Ytf5Dvf+Q7f+973sFgszMzMMDMzI3dANpuN3/md3+ErX/kKL7zwAsePH+ezn/0sO3bskJpPBw8epLOzk09/+tOcPn2aZ555hq9+9at88YtfXPNUdd0XUCqxWqw0NzdTUxPk0qVL8jQjOp+/yi8VcAUZ71qM2SaTaYWisUKhoKurC4fDIY/1gUCA+vr6NctiMpmorq7G6/VK+Q6xkKhUKql/JWhoROCKmETsdjvNzc10dnbKCWNoaEiqF0P5lGmz2Whvb0elUmG1WvH5fCSTybK+UTCI0+kknU4TiURIpVLMzc1J6fDWtjbcbjcKpQKLxUIgEKC6ulqekquqqvB4PFRXV1NdXY3H42FmZgaTyURXV5dk6K6EoNMRNnDBeC/MoOLE6fF4pE6Yx+Oht7dX0lfV1tZiNBql6Wk1hFlmdnaW+vp6GhoaMFssZVXmmhqqqqqIRCI4nU4aGxvJZrNUVVVJf2g4HMZoNLJr1y45STudThKJBFVVVVLdNh6PyygpQdi8fv16ubmYmZmho6NDRliZzWa8Xi82m435+XnMZjOBQIDW1laUSiUej4d169ZJc5xGo2Hnzp1oNBrm5+eZmZmhq6uLjo4OACk9Mzc3RyqVIhAI0NvbSzqdlgq9wocVCARQqVSMj49Ln6JYtIRETzKZlGZcYWZ0Op1YLBbpJy0UCpKGLBgMSgaZjo4OqdBdCbVazebNm/F4PGSzWUwmUzkE2mKVVo9QKFRebMJlXaqZmRlKxSJVVVV0dHQQDofLIdOBAAaDgZaWFmqCNZIeSpz04vE4i4uLzM3Nrdn3rFYrGzZsQK/XE4/HmZycpL29XfazyLIeWSQSYWFh4YqFT5gxk8kk4XCYubm5skVArUKhVBKOlBV/vV4v9Q31UsC1p6eHRCIh9bMMBsMVfVfot4nvFAoFS0tLaLVagsGgJFgWc4OYn5qammQwmvDPmc1mVCoVTqcTl8sliaBvRwhRyreCmzIVfvOb3wRg7969Kz7/+7//e377t38bgP/23/4bSqWSRx99lEwmw7333sv//J//U/5WpVLx1FNP8fu///vs2LEDk8nEb/3Wb/GXf/mXN114kfCmUavZuH4DBoOBf/qnf5I7yYsXLxKLxdi2bRs7dt6F3mggHAlL3a5KpNNpYrGYNAElk0nJXTg+Ps65c+fIZDLs3LmTqqqqK8pSLBalGW1gYIBLly5JM8LAwAAnT54klUpx8OBBPB4PCoWCD33oQySTSU6ePCmVUhcWFvjt3/5tvv3tb3P69Gmg7NMTnXR+fp6l8BL5YgEUcPTYUU6fPUNPTw9KlYpsPofD5SQaj5HJZckXC2RzWaKxKOlMmlw+R5ESxVKJyekpPD4vGo2GweEhTp4+hcvpkoup0WiUvHpiMoxGo2uyQ1SyiQsqLLGLHRkZQa/XEw6H8VdXkSuUgzZcHrc0Jb3yyisrdLpWQ6jTjoyMcO78eTLZDD6/ryweuUwZtOOuHczNzTE4OCi54dLptDR9KpVKPvShD8nJsb+/n46ODinkCch3EH9er5eDBw/yx3/8x/J0eP78eWw2myQ8Fj6YoaEhfvazn9HY2EhHRwc/+9nP5OntZz/7mSR5bm5uplgsSlLZXC4nJejF/2ezWbRaLfX19WzevFn2WVGfv/M7v8PU1BR/+7d/C5TJWcfGxuQmS7Ckp9NpFhYWpP9kenqaJ554gvXr10uJ+2eeeYYtW7awd+9eqYqdSCR48sknWVpaWtEOQqRx/fr16PV6TCYToVCIyYkJYrEYbrebYqFAIZ8nn8tRLBQo5guUCkU6Ozupr6+nqqqKu+++m6WlJWnKbGtrK0ef/eQJ+SyhGCCc/Wv52zweD/feey9/9md/JsmA+/r60Gq1bNy4kcHBQXK53FVTKYT5tlKpoTzmYkzPTDM8PMzRY0fLm6Pqanp6euTm7kMf+hDZbJbDhw+v6X9LJpP09/fz2c9+lvHxcZ566ilSqRRDQ0McO3aM3t5ezGYzuVxOzi8KhYKpqSlJOuxyufB6vVI14VOf+hRqtZpIJMKPfvQjwuHwbesDeyu4qYXrRiJs9Ho93/jGN/jGN75x1d/U1dXx05/+9GYefRUoKBYKTE5O8tRTT1FTU8OnP/1p/vt//+8MDQ2Ry+XK5rJkeWe0bds25ufmef7556/6LmuZECsdqzcC8bvVgQyrtXTUajXRaJQLFy4wPz9PLpeTbNU2mw2Hw7EmDZGCN523W7dto7u7m8OHD0thwMpnyPcpvfkuinJhVgRkIN+v/MOzZ8/S1NREZ2cnu3fvZnFxke9///vXdEJXOpUr61HUQ2UwhZhIjh8/zsLcPKVSiXA4vOb9r7zXSq44ocP02qHXrkktJeibHA4HLS0t1NbW8uSTT9LR0XFFJKx4ZrFYlO0SDodJJBIoFArS6fSadDwulwulUsnFixflhFLZ/uJkL4IzxHf5fJ5YLHYFf6M4ab722muSwiuZTKJSqbDb7fj9fubn56VvdnU7rEY4HObkyZMcOHBAnoySyaQMOpqfn+fMmTMywnfN/qcoS8xMTExw6NAhKRsigqVWyIErVl4nImVfffVVGUiTTqdxu91SYkbUQWUw0dUiIivbR2y0RFDTzUjAXAuCuFlAnEjFgiXowlb3u1QqRX9/Pz/4wQ9oamris5/9LKOjo8zMzHDixAk+9KEPMTIywtDQ0Io6Es9YHdATDof58Y9/LAM7wuHwB5Zx6LbmKjQYDRgMRgwGAxMTE2SzWe6//34aGhrIZrOMj4+Xd//FktTeicWia4rxCd0n4ZcRUXgiMMRgMEhNIxH9tDoyS6fTYTabsVgskjBWp9NhWtaIEhFM+XwevV4v882qqqrIZDLE43GKxSKTk5M4nU46OjooFApS2t3pdBKNRsvOXZ0Og95Ald9PS3Mzly9flpOh1+NhcjmiTK/T4XK5yGVzKFVK9Mu6VAaDAZvVhtlkRqksRzyajKayGnGhKCPUXC4XDQ0NTE9PMzU1JTWQKgeVWISExpbH45FM4IKN32g0YrFYMJvMZNJlRm61Wo3NaiWbzkhz4+rNgUqlwmKxoNFoSCaT0veo0WqxmC0sLCxgNplxLWfrC70weJO4NxAIyIl9cHBQ+iPb29vLytbLOkxms1kufMLvUywWGRkZobq6mmw2y8LCAmq1mlgsxvz8vDS7CWkMg8EglQn0er3UkjIajeXQ4WyW2dlZrFYrNTU1krU/EonIf2u1Wqqqqpifn5f9wuPxkEgkSKVSJBIJFhYW0Gq1bNiwgYGBARKJhGQKF0EBbrebbDYrzYLC7LewsCA3E5llbalIJEIoFMLpdGKz2YjH4/IEUInKFAW1Wo3b4yYeT5DNlfuX1WrFZDYRTxiXta2MWCxZrDYb0ViM7HLEq81uJ5vJkMlmSSQTpNIpNFoN69atk8oI2WyWVCqFwWDA7/fL8Vy5iKRSKYaHh/F6vSs0sBKJBKFQCKvVisVikYFCq/uuMJ+KNAi32y11sAzLfddkMsm+m0qVw/vVarU012WzWRYXF9fsu8KX6ff78Xg8MtBDrVZTVVXF0NCQNJuJ54hAMRE0lc1mpdafkE16N0gEVr+LGHtrLdLvNm7rhStQVU1tMMjWrVt55plnGBgY4Omnn+buu++mpaWF//f//X+JxWLoDeXF6NKlS8zOzq4ZoeNwOHC73bhcLtra2rDb7RSLRWlT9vvLfrK6ujqy2SxGo3GFeUBEeDU2NkrJDq1Wi8fjob6+nmg0SiqVwuPxSH/P888/z7Zt2/ijP/ojzp07R19fH0NDQ/zoRz/ikUceYd++fbz00ks0NjaSy+XYsKFsDq2rq8PldFFVVYXRYESlVLF/7z7UanU56KImyPlz5ynmC7icLrZs3sLU1BTJZBK3y43X46UmUENnRweNDQ1kMhmsFiu1FUmayWRSaueIcOJAICB9bpUJ4eK0YLFYaGxs5K677kKtVsu8LiHJ0tbWhsvl4vnnnivb6+0Ofvu3fptEIsHi4iJ/93d/t8L0ISbglpYWKVZntVoJVJd9O4lYnFdeeYWDBw/y4Yc/THNTs3Tk/+AHP0Cj0eD3+3n44Yel2fLb3/42KpUKk8lEfX09+/fvlxFpjY2NJJNJUqkUW7Zs4eLFi8zMzPDDH/6QRx55hGAwyOXLl+Vp49KlS+zZs4fm5mYMBgPpdJpiscj4+DgnTpygu7tb+hxra2sZGRkhEonw4x//mPr6empraxkaGmJsbIzJyUlplm5oaODgwYNMTEwwNTWF0+nkq1/9KlNTUwwODvLEE0/wyiuv0Nvby1e+8hWOHDki9dZef/111Go1fr+fnTt3EgqFpJ6V3+9nenpaRnBGo1Fp/uzv7yeXy/Ff/+t/paurS9bjT37ykxVco4VCgWQyyZEjR+js6mLv/n0MDQ3x/PPPEwqFaGlrpaGhoeyvcbmoqq7C5XaRzmb4/ve/T3tHO9U1Ab705S8RDocZHR3lH/7hHzh56hTd3d38+V/8p7IW3IULnDt7jsnJSWpra2lubmZ8fJy5ubkVFHNTU1P84Ac/4OGHH6a+vp6zZ8+iX6YVOn/+PJ/5zGektpbL5SIUCl1BihyPx3E4HLS3t5NOp1EqldTX1ZU3sRYrjfUNMljqxz/6EXq9Ho/Hw+/93u/JYJpvfvObV5gLnU4n9957ryRmOHfuHPF4XAqzajQaJicnJd+rGCM1NTXY7XbcbjfNzc2Ew2EZgfdesfoYjUbsdjsNDQ2cOHHiPSf/va1lTdxut4z8EWYWs9mMyWSSR2mNRsO27dvYvWcPf/1Xf0Uinliz8cXuyO12s7i4KPM9fD4fkUiEeDwu5bRLpRLz8/NXyH4YjUasVqvcKebzeaqqqqSvpVQq4XK5KBQKLCwsoNFoMJvN2Gw2yQQtGDucTic6nU6GSQsTSyaTwWAwYLWWxQzF6alyN6nRaJibm0OpVFJdXc3i4qKUY/D5fLK+TCaTzFNZWFjAbrfLfCefz4ff7ycYDHLy5En8fj+BQIBoNMqRI0fWjAqqra2VZpNSqSTVWmdmZmTdiWANKJvVjEbjCif86p2cOPUJ808kEpGBK+l0mmQyKcU8lUrlihPMf/yP/xGr1cr//X//3ysSI0V+j91uZ2FhQZ7oJiYmKJVKMoJ0dnZW1qnNZluRpyVO5Hv37iUQCJBMJnnmmWekTyaVSknlYYvFwvT0tLyXOAGJ3D1x8kkkEnLHLSZfcVJyOp1SryocDsv+KgJxUqmU1G9zL+tHhUKhsgqySiX144QidqUWXGV0W1VVlcw/jEQixGKxNc1RTqcTs8WC3qCX/Smfy8k+lcvlCIfDeDweydAuAjKsVitGk4nEcn9fWlrCYrGUx4/NRiQSIZ1Kk06lZP/WaDQr2qNy3Gm1Wtn+wiQtTqB2ux2dTif7+FqSJCJ/TrSBiCoU+n4Wi0Uq9y4sLKDT6XA4HBiNRhniLtIWKqHVanE4HNLMKca9UHH++Mc/zhtvvMHly5eBclqHUNkWJ3ur1Srb6UaZ8t8J3H///VIE9Oc//zmjo6NMT0/j9/txuVy4XC4ZibsWn2ZbW5tUXReJ3qlUihMnTnyw9bgqUUlK29jYSHt7Oy2tLXzjb7/xvuMeE/Z7YXoUE7eIQlrtL7vaPbRarZwERaIzvMlRd7PNvH//fmk6O3bsGE1N5fyaUCjEqVOnGB8fv+IaEUByM88TmmRvNU9FoVDI/DZRh//pP/0nDAYDf/EXfyEDRirLKhLKKxNXxb2EaabyGhEFJqJoTSYTd999t4xee/rpp6+qK7Uaon2VSuWak3GlhpfwKYmgi0pfaWXyaqVvSCw+VyvLas26ynoUCbPXGytqtRqlulzOUrEo/ajXg0KhQG80lBkX8hW6eEolGo2aXC5PqfTm/W5E00yY7yvb52agVqtlv73RvmswGGQwz/V+JzYnUE678fv92O12Ll++fFXGoPcTHnzwQVpbW7FarTz55JNMT0+TSqXo7u6WAS6BQEDmA4rAI4Hdu3fjdDpRq9UsLS1htVqx2Wz8wz/8wy0tXO8PbqO3GZXBACLRM5l477kH10KpVJIRYJWnjUKhICeq6wnRiR2tmKjERCjufSvv3dPTQzAYlD4VcZK4dOnSVRnKKxkobhTpdPptSa4UCc6VGfqCnHf1wiDKms1mZR1VniqE8331Nfl8fsWkKCb5SgLgG3138cy1niMCDirLI05Kq32L4j6V/WM1Q8jVnr9WnxLvfiMbvHw+TzadoVS48UVLPCOVSK5YtABKxSLZTPaKRXB1fVztnqvb52awmtHmRpBKpW4ook/4xQSamprYu3cvY2Njb1sAyTsNwYYzPT3N5OQk6XSaYDDIpk2b0Ol09PX1sW7dOtavX09bW9sV17vdbpqamti8eTORSASz2cy2bdtuuTy3tY/rRiDyckSeyx3cGH7wgx/Q0NAgF7CxsTEOHz4sw5ffz9BoNNIWr9Pp2LRpE+fOnXtbFX3FKQCQZimHw0E0Gn3f188dvLcQ6RhrMfC8XyE2WcLl4PF4uPvuuxkdHZWMPMLvumfPHg4dOrRiExAKhWQu5MDAgFwIbxW/0gtXqVRieHhY+o/ejyeu9yvC4XK+m5iEQ6HQbbP4F4tFlpaW6OvrQ6VSEY/H3/YJQpyCLly4IM1qIjjjDu7gWpibm5N5Y7fjnCT4FNVqtfT9iZP61fgti6Ui+UKhTNG3zIn5Vkizf6UXLuAdle/4VUYmk5G7wtsNIpl7tZ397YQwz/b19b1jz7iDX03Mzc29q7IubweEGVWr1crcwkQiUU5/WA7I0Wq1pFKpq2zeFChVSjRarUwbWp07eTP4lV+4bhTC7PNOm3nerefcwQcX11JAeL9AMPnfjieOtwuVidU3Mx+8F+07OzuLy+Vi3759TExMyLSdL3/5yzLyc8OGDZw6dYoLFy6s2a4ej4cdO3aQTqZkFOyt4gO9cCkUCpxOJ3v37pW8cSI09e1+jsPhkGS4MzMzMndDQKlU4vP5sNlsXLp06QM9oO/g1iASqzdv3kx1dTX/63/9r/ddPwoEAgSDQerr6zl8+LBMqH03IfINL1++LNNU3k1oNBqsViu//uu/zsmTJ7l8+fINcfeJ9t2+fTsul4tvfetb70Jpy1hcXKSvr49vf/vbXLx4kXA4TDqd5vHHH5fpLKFQqExJt4omDIBSiXgsxkB/P+fPn1+TOu5m8CsZVXgzMBqNkpl6tcDlWhBsCNeDCM81GAwy41w8Zy35FqFlVF1dfUvvcQd3AOXQ666uLvbs2XNV2qdKKBRlwdF3SzRTEDtv3boVl8v1tt5b5EVe7731ej21tbXvijCpgGDN0Wg0kklm165d1NXV3dB8Am8ywfT09LBz584bat+3C8lkksnJSV588UXGxsbkwnX06FH6+vqYnZ3l7NmzTE9PX8HAL8qeTqWZnppmdHSUkZERxsbGbrk8H+iFq1QqEY/HbyribN26dTcUxinYtjdt2oTdbieRSHD27NmrJhFW5uTcwR3cCkQw0mp2iatBOMj37NlDbW3tu1DCMlny+fPn3/Z+rlQqqampYe/evdddhK/FffhOwW6309XVRSAQQKPRsLi4yNjY2E0xUBSLRYaHh5mfn39bI2RvFCIgabUPS/BCXuvkKhZsQSTwVl0lt7WpUKVSYTabWb9+vWQUuJqpT6lU0tTUhNVqRafTsbS0RDqdlln1UBZkdLvdBINBQqEQExMTNDc3S0mKWCzG7t27qaqqkhFl6XRa7nKj0ajUDero6GDdunV4vV6ZcS941LxeLzt37mRmZoalpSUWFxexWCzS7i8g5A8cDgeZTIaJiQkikYgUQRQ8eILtQuyExLUOh4OmpiZ5fBeS5JUQPIqCUkehVFLfUM/58+eJLVM71dc3lJ2zxaIUvAyFQjgcDimDMTw8LEPBlUolPT09kmPx9OnT+P1+DAYDw8PDmEwmKYVx/vx5NBoNXq+XdDqNzWbDYrFw9OhRnE4nTqcTn8/HwMCAlJ8IBoNYrVbMZjPDw8PEYjEymQxer1dyS9psNiYnJyUH4GpoNBoMBgMdHR0yHyqdTjM1NSXpgWpqaohEIly6dIlCoSDpv+LxuGRtmZ6eJpFIlCXrW1vp6+sjEomQyWQk/Vcul6O+vp5wOCxVlRsbG1GpVFy4cEEStSoUCjo6OmSfPHPmzDXVtu12O/X19eh0Osn6IJgdBOrq6jCZTESjUZLJJAaDgaqqKgYHBzGZTNTU1HDw4EHcbrfMx3G73ZLi68yZM8RiMZRKJW1tbVKGvbu7m5mZGebm5rBarTidTorFImfPnpVs+z6fj5mZGSkJJMaNSqWipGAFAW8gEJDUapcuXUKr1cq6FurHra2thBYXSaWSaLU6vF4PmXRZmLO+vp6enh62b9/OfGiBkeFh5ufmcbvdVFVVodPpGBgYIJPJSNVrcdoUrB2VY2l8fFyavLRaLXa7nZaWFjmWrhb4IxLhm5ub0el0hEIhqfn2wAMP0NfXR39/vxQ7FTyMTU1NDA8PS82x1tZW1Go1qVRKcpd6PB4mJycxmUzvOxPwtVCZ4B+LxSRbzlshg7itFy673Y7T6ZQkqVeDIFCtra2Vjs36+nr6+/uvsHErlUo6OzsZHh5mYmJCchDq9XrOnDkjZQYEKa+gB3I4HJhMJnQ6HSdPnpR0PGazWcrOA9J0aDab6erqkrsusdD4fD4UCoWkMXK73dLUaLfbOX36NAaDAZ/PRyAQIJPJSO0pQTCbyWRkZr5araa5uZnp6ekVul6V72s2m9m0aZOUdfB6vSgUCiYmJhgcHKS+oR6lQklxOX9jYWGBbDZLIBDAZDKhUqno6enh+PHjK+iqzGaznAyqqqpwOp3Mzc1JG/+GDRsYGhrCYDDQ3NxMOp3GZDJJXkK/3y/NqlarVU40oj1UKhVtbW0y+tHr9eLxeLBarVIPTSRQr4bb7aampkYucjqdTsqqpNNpqdtmsVikTpPD4aC5uZnFxcUyCevyIjA0NEShUJBEr0KQsL6+XiZG22w2XC4X+XxeLg6CcFn4O71eLyaTCbfbjd1uZ2hoaE0NKvFbl8uF0+nEaDRKXa1wOLyCccVut+NyuTCbzYyNjWGxWGhra2N+fl7SSXk8HtlPBV+ny1WWt5mfn5ektZ2dnUQiEQYHB/F4PJIiLRaLEQgEJEWS6L+dnZ1yQRWSLvPz88QTb54y1Bo1TodTElgLyjaLxUIwGJSErtlslvr6egqlIkqVktraWhRAQpnA4XBIGjTBBarVajGajFRXV8t36+7upr+/H6Ox/LlY4MVYEkn2QsldJA77/X4cDgdqtZqmpiZmZmaIRCJrJs7rdDrq6+tl//D5fJw5cwaLxYLf72d4eFiePMR8IGiwxEns0qVL+P1+9Hq9VNR2OBzU1dXdFiwba6FSDPftCEy7rU2F7e3t9Pb28vrrr0v+trXgdrvp6emRwoWjo6N89rOfxe12E4lE5O+y2SxLS0vcfffd9PT0SKmN+vp6du3axdzcHOFwmIWFBY4dOyYVlYW2kMfj4ROf+ARarZalpSVGR0cZHx+XvF5Q5ufT6/WMjo7y8Y9/nLvvvhubzYZGo6Gnp4f7778fpVJJd3c3O3bswOFwyAX2C1/4gtQzam1t5aGHHqKmpoZ0Os3BgwdZt24dVVVVaDQa9u3bJ+VOdu/ezV133YXT6bzCRJLP5zEYDHzkIx+hsbERo9FILBbj85//PA8//DAqlYrt27dz4MA9HDx4EL1ej8vlkjpRk5OTJBIJvvSlL+F2u6mrq+OBBx5geHiY0dFR2WHr6uro7e3F6XQSiURQKpU88sgj2Gw2/H4/e/bs4cEHH5QnDrvdTnd3N93d3Rw7dkyeju655x4CgYDkOXvsscfYu3evJDg+ePAgjzzyiOR9u5rZaMuWLfzu7/4ufX19qNVq2traCAaDrFu3TqobW61W6urq2Lt3LzqdjmAwyO7du9m5cyd6vZ5UKsUf/MEfsH37dnw+X1mu/r772L17NyqViq1bt7Jr1y62bNnC9PQ0mzZt4nd/93flactisfCpT31K1ttjjz1GOBzGbDZL893VlG/37dvHtm3bVtDt7Nu3j2QyuWInazab8fv9dHV1USgU0Gg0bNmyBb/fT6FQkG00MjLCyMgId911F/X19TgcDsxmM1u2bGHdunUolUruvfde9uzZQ319Pclkkh07dvD5z38evV6Pz+ejra2NPXv2yAlqx44dWCwWyVvocrnK5MjxNzcSFouFe+65B61Wy+zsLOfPn6dQKGA0GnE4HNTX18sJvK6uTrKh7Nmzh5npGcbHx6mvr2d+fp6pqSmWlpa40NdHKp0mUFPD5s2bCYfDTE5O8qUvfYlgMIjX6+WRRx7B4XDgdDppbW3lwQcfJBgMkkgk5Fiqrq5Go9HwoQ99iJ6eHg4dOsTOnTvZuXOnlK+phEqlwuFw8Oijj8q8x0cffRS3202hUGBubo6LFy8yNjYmT3MWiwWr1crU1BQf/vCH+bVf+zUSiQRmsxmfz0ddXR2pZc7GQCDA1NTUe8pZeCsoFoucOHGCl156iZdeeolQKPSWqfdu6xOX0WhkeHiYZDLJuXPnrmo31+v1OJ1OqWUkRBEFC7qAMBllslnyhfLgE1pFAPlCnkKxQL5YkHQvgmDT5/Nht9txOBxy9yvECAV1E5TZrGdmZhgZGaGvr08SkQ4NDa3QY1q3bh11dXX87d/+LZFIhKWlJc6dOyfVYycnJ5mcnGR0dJT+/n552mloaMDtdlNdXY1SqWTfvn1cuHCBiYmJNSOohIBmJBqhf6CfvvPlpN0HH3iQQi6P0WAktLDA9OQUCwsLvPbaa2zavImedevQ6XX0rFtHPpfjySefxOfzYbVaKZVKJJNJotEoExMTpNIpkqkkqWWnrTCfCfFJsaucnp5mcHCQwcHBsm6W00FXTzcfe/RjvPbaa8RiMT75yU/yN3/zN4yOjpLNZrlw8SJKtYr1GzcwOz/H4PAQ8wvzPP3005LoeC0YjAYcLie5fI5wNML8wjyhpUXOnD5NLB7H5/VSUxtEbzRg15YXP8F4MDw8zKVLl8jlcszPz9Pf38/p06fJZrN86EMfkkTKglFgenqaS5cuMT4+jsfjoa+vj3Q6TUNDA4888ggajYbh4WG+/e1vy5OYIIgtlUoEAgE2b94s7/mLX/xCnqZF+zkcDrxer9TVEhCJ0eJ0USgUSCTKRNOijwraqFgsxksvvYTb7S4r/tbXyw2AUAgeGxvjxIkTZLNZgsEgwWCQvr4+MpkMtbW1tLe3o9PpmJ2d5ac//Snt7e1UVVUxOTnJL3/5S/L5fPmEWAK1So3VYmXz5s0cO3aMiYkJOYZn52YZmxjn3//7f8/i0hJz83OcOHWSqckpdDotrc0t3HvffVy8dJHXXnsNJQr5LtlslvaODjZt2oReq6Ojo6MsjPnUU0xMTuBxe1haWpKLfuVYGhgY4NixYxSLxbIKg8tFIBBArVazf/9+Ll26xNTUlJRQqURtbS1NTU14PB62bNlCLBbjlVdekSd08bzKNpqamqKvr4+JiQnC4bBcDA8dOsTmzZt5+OGHeeGFF4jFYpw+ffpOgvsybuuFSzDDC6bhqyGZTDI/P09bWxsej4dMJsOJEycIhULS1r0SpTJVmoI3c00Uy4KAFUJvQmajqqpKSter1W9WqeALrCTuFDxwwoSSy+WkxlVlpzQYDBiNRpn4J+QkBDmrMOuJiUk4eQWTvFCPDYfDLC0tsbS0dAXRrChjoVggXyiQWma6VigUZNLp8kSQz5PPlTngotEoS0tLKFUqjKayvlQ0EiEajTI1NSXrw2azyQTdTCZTrsdikWKxsGKXKt5XLGSxWEzKrFssFkZHR9EbDDhdLgLVAemPqBT2TKVT8n3FYphYlkK/FiKRCJOTk9Q3NJQ1huJxRkdHUanVOBwOLBWabIIAVEyKgqVd0OAIlnrRPqIP5PN5MpkMqVRKmnCz2SzJZHKF9pZCocBoNBIMBmWbCtVrQc4qWMWFhUCYj4LBIAsLC8RiMfr6+q4wwwjOTuFnEH2psn+Kf4v0EGE6DYVCuN1uWQ5BhiworgTPYiqVksoGOp0OhUJBPB7n0qVLdHd3Sx+bUEQQUXRC7666uvoKnbdCoUCJ8inG4/VQEwwyOjpKOp1CqVBw9OhRlMus98FgkJmp6RXvIpj5Y5GyTzEUCjE9O0M0FsPpdMpxLd5J1Lt4F6FuIPzSwgy7tLREOBxecyyV9ccMKBQKKaMzMzMjQ79XzwVQllURfSefz0sLweLiIvF4XNKXCYXrSjHWDzJu64VLnG4qF4u1dtjCJ/PII4/Q1dWF2WzmX//1X5mcnJSmh8qIPsUyD51KrUapUqFQKqTqsEKhQKko/97r9dLW1sa+ffv4+te/Lu37lSqmKpVK3r9S0VV8X8n0Xfkndo+C/05cE4vFpGbQasXhSqbwfD7P0tISJ06ckM+5+m6tfA+lUolKrUKpUJLJZKQ2VWW5RLmFbMzFixelXtPGjRsxm81UVVWh1WrLg3t5E1AqlSguZ96LOhFlvqL+FQpsNhuHDr3GiZMn+eQnP8n6DRswm0yk02npD4nH4ygVSlKZ8qJaWSeVfp61MDY2zrFjx9i9ezeJREIq/+7evZtAIIBCoZBS8KKfCX7C1XVf2X6r23KtNl/d1gqFQpoK//Ef/5FIJMLc3BwKhUJuClYzwJw6dYqOjg7279/PhQsXuHz5Mq+//roMjqlUFxAT+Vr1XllevV7Pjh07UCrL7T8yMoLVal3RRqvbSvSb1e+TSCS4dOmSlPUZGBiQ/baSGV+v1+P3+6UfSozfYrFIKpkksmyRWLduHd/61rdw2O1kMhm++c1v8sjHPkp1dTX33H03j//r4yvqnGXS40gkQn9/P6Ojo5QUZSLf1f1udZtWvqM4mYbD4euOJfF5Pp+nv79f+i7FSUvMB5VzwuqxJdpDCIhGo1F6e3s5fPgwp06duqKeb6cgjbcTt/XCZTQauffee+nq6pJH/eeff/6K3/n9fjo7O6mtrZUaUVVVVbz8yitkc1l6eteVO5RGzRtH3mBoaIi6ujr+9E//lKGhIXrWrcPn81G97FspFAt88tOfor+/H7PVQnNLM/fdfz/1DfW4PG5a29tIp1LSxp1MJpmdnaWnpwe1Wo3RaOT06dM0LIs4lkplDa3GxkZ8Ph+1tbW89tprDA0N8YlPfILDhw9LaYvjx4/j8XjYuXMnjY2N9Pf343Q66ezslBFI3/nOd9izZw+bN2+msbGRxcVFzpw5wwsvvLBmjoVyedI6ePAg3d3dpJMp/uVf/oWFhQWMRiPNzc3k83lcLhdvvPEGZ06fJplM8kd/9Eds3rSJudk5pqen+eUvf4nZbGbv3r189atfZX5+nomJCX76058yNzOL3WbnC1/4AsePH0ev12Oz2Vi/fj0mk0lKJoh8EbvdztZtW/F4vYRCIUILCyQTSX75y19y11130draypkzZzCZTQwMDnD82HE++tFHaG9rl/pT4XD4qszzrS0t3H///eXFKZPB5XCSiMWxWW2YDEY2btzIeZsdm81GV1cXz/7il1IiR61Wy1NTVVUVbW1tMipRmGibm5tpb28nm83K6Meqqipqamro6ekhlUpRV1eHx+ORGli5XI4DBw5INe2qqiqy2SxTU1NXTJQ7duygta0Vq91GbV0dJrNZRgHW1dURCARoa2sjFosRjUb5nd/5HakBVlNTw6ZNmzh58iTnzp3D7XazYcMGVCoV+XxenpKs1rIZb25ujsHBQak71tXVRS6XWyE02tHRQUtLC42NjdjtdinYevnyZZaWlhgaGqJYLFJTU8P69eupra3F5XKxtLTE008/zW/91m/J3x86dIjp6WkWFxd5+aWXsTscUCpBsYTRYKSmpoaNGzeW62ZiUvqTWltbqaqqYv++/UxNTfHKSy/zZ3/2Z2zbto2ZmRkmJic5eeIE1VXV+P1+ent7yeVyVFdX09jYyNDQkFQeFxGm//iP/8iuXbvYuHEj/+W//Bdpsn/uueeuGEsjIyMUCgV+4zd+g8997nOS4PsHP/iB3Ag8+OCDXLx4kYGBAerq6giFQjKitKqqCr1eT0dHB4ODg8zMzPDCCy/IqGKlUklDQwN1dXUEg0Ha2toYGxu77Xxebwdu64Xr+PHjRKNRGTARCoXW/J2YVC5cuMDUVNlXU1VVRXV1FdFYjFdffRWFQsH83Bz5QoFDhw7JgAkRUm0ymYjHYhw7epSBgQGpHptMJnniySe5eOkiM7MzTE5OMjc3RyadIRqJ8stf/pJLly4RW36OUqmUzsnnn3+efD4vefVeeeUVGRIbi8VkaPvU1JTMOQuHwxQKBU6dOsX09DT9/f3E43FefPFFucNMp9O8+uqrXL58GYVCwdLSEhMTE1f19wjz0dTUFEODQ6SSSWnHz+fzvPjii5RKJSkqGIlEGB4e5ic/+QmxaJR4rJw1H4vFGB4e5umnn0alUkk5+HQ6zfj4eHmgL4fOi1354OAgGo2GWCxGPB5nbGxM1olaq2EhFCqbKcMRaW7TaDTyRHnkyBEmJyZIJOKcO3uOmekZFArFFWq0qxGLxZiYmOD8+fPkMlkZhHLkyBEZgTkxMYFer2dsbIyFhQUuXbpEJpMhFArJsPnvf//7nD17VhKn/vjHP5YT1ksvvbRCkPH1119nYmKCyclJadb8h3/4ByYmJgB49tlnZXsIXrjp6ek1d9WJRILp6RkWQiGmp6exWW0Eg0EuXbrE8ePHGR4eZnFxkWw2S7FY5KmnnmJwcJBSqcT4+LhUV85kMjz11FPMzMwwMzODUqksq4br9UxMTMh2WVhY4Ec/+hGhUIiZmRmKxSKvvPKKHAuDg4NEIhHGxsZkXQDMz8+zsLDA7OwsxWKRhYUFLly4wOOPP87AwAALCwu88sorkkFjenqahYUFafrPZrNMT03JPCEx7i5cuCBNsEKodWhoiJ/85CcMDQ1J8dQnnnhCRpbOzc0RCoXI5XJ8//vf59KlSxSLRSmAODAwIMdSPp+X9z106BD9/f0oFArpX16rb+VyORYWFnjyySdl+Hc4HCYej5PNZjl16hRzc3PMzs4yNzfHT37yE6lIHYvFeOaZZ1Cr1VJQtVAo+9IFt6EIFnvxxRfp6+uT7/hBxG0vJKlUKqVs+tUmKq/XS11dHTU1NYyOjhIOh9mzZw8lygPrp08/vfICBWh1OvQ6HbFl35FCoaAotJ6UyrJPJZstJ3Eu59EolUrUKlXZr7Ncq0Lc8FadqsL/IQIebgZqtXqFH/BqqK2r47/99//G//l//p+cPXOGdOrKU9mVBSvXg0GvhxJXlM1kMkk/nIBSqcRiscjggOuJA2q0WtRqFSUgm86ssO+LdIRYPEapeHNdWKFQsHHTJjZu2lheXPJ53C43X/nKV/iv//W/curUKQwGg5w8tVrtmifVdwIGg0EGTQjT2Vr9ev/+/RgMhvLCNTNN77pedu3cyfe//33GxsZWUAiJMSL8qMIULepCiCgKf6rwU6XTaamQfbMTpLjvwYMHmZ6e5sSJE9f8vQgeqdQnE9Gxk5OTjIyMyJOFYJCo1LIT7ylEVCv7il6vl+rYt4obHUsCJpMJ4Ipn6nS6K/Tf1oJSqSQQCNDd3c2RI0eIxWJvi27d+xG3IiR5W5+4ACnTfS00Nzdz8OBB3njjDRmoADDQ3y93uytQKk+U2XSm8qM3/10oki1klj8vkU6WJ7hCoUght7JDvtUJT7Aw3wrE6eh6UCmVmI0m8tkcmfQNhqmWyvWQTKy9mK5V5srgAvH/10IumyW3xlgVEgq3OpA9Hg/t7e1s3ryZH/7wh6hVKtQqNW+88QaRSOSKPvVuLVrAiiCja4UMHzx4kGQyybe+9S3i8TiLyyev4eHhK+r+WmNkrUWp8rm3WscOh0Oaxm9kol/9riaTSfqQVyeRX20Tt5aStmB7eKu40bEkcLX6vtEwcJ/PR0NDA21tbbz88su/sovWreK2X7huBGNjY7z88st4vV46OzuJxWJcunSJiYmJ60af/arDbrdjMpk4fPgwJpOJqqqq21LK5GYQi8UYGBjAZDaxfft2kokk2UyGZ5999h2VQnk78dJLL2G329m4cSORSIR8Ps+rr766QgX6vYTg6RwaGrolCQ9xor506dJbbpPb0KgkUxAuXLjwvmb5f6/wgVi45ubmSCaT7N+/H4vFgkaj4ciRIywuLr6ru+n3I4SJ5tixYzLxczV+1aKXUqkUY2OjKJQKmpubiajDzM/Pc+7cudsmT+bUqVPU1NTQ2dmJSqViZGSEy5cvv2925sVikXQ6zeTk5E3x8a2+x9DQ0Adycyn8eZWME3fwJm57H9cdvPOo9Lvcht3lfQkREv5WJqXVYdG3y6ILd/S43g6o1WrZ9rfz4vaB9HHdCpRKpeQ3KxQKko7pZlFXV4dSqWRpaYloNPqWJw6lUolWq6Wrq0tGhb2XcLlc1NXVybDsWCzGG2+8seZko1Qq2bhxo0xeFcwEuVyOs2fPYrFYZNi+SLwGZLBMNBpdcT+FQkFtXS1Gk4kLfX3SyahUKtm0aRM2mw2tVivNZJlMhrNnz74vzGTXgl6vZ/PmzdTW1pJMJvnxj398S/ex2Wy0tbVx33338YMf/EAmul4Ldrsdg8GAyWRiZGTkPZns6uvraWxspKWlheeee46BgYF3vQy3OzweDy6Xi+rqaqxWK5FIhBdeeOG9Lta7ituaq/BWoVKpqKmpoaGhgZqamhu6RpDRGgwGSehrsViwWCwyCutWIOioRDKiYI/X6/W3dL+3CyqVCrvdTkNDw5pJ2mtBsIi0tLZIRm1BCyTqrqenB7fbLdm4Ozo6qK+vX8EzKRKQm5qa6OjoWPEMhUIhn9Pa2opOp8PhcNDQ0EB1dfUNaxu9VxBRonV1ddTV1QHlfERB0HwzsFqtdHR03LCellarxWQyYbPZ3nVZj8oyWK1W2tvbb3qXfbvCbrdflXPyViACNyqTpz9o+OC9MeXFYufOnezbt4+tW7fe0DWVRKxOp1N+/laoV0TI61133SUn7kpGg/cSZrNZJpY+++yzPPPMM7z22mtXPVUWi0Xm5ufI5LL4/H6OHz/O0tISwWCQRx55BKvVytLSEp3dXcyHFjhz9gzHjx/nE5/4BB/+8IdXCACqVCo6Ozs5cOAA995774o6LhQKzM7Okk6n8fv9HD16lGg0SmtrK/fff79cDN6vlDjZbJbz589LOinBmiGSz69GFL0akUiE2dlZxsfHb/iUeTWmhncTMzMzXLx4EXj/ttHbjU2bNtHW1va23a+7u5vNmzfz3HPP8a//+q8899xzb9u9bxfc1qZCrVZ7085oMVhCoRCdnZ3S5FTpvxFZ7A0NDVgsFsbGxkgmkzz22GOMjIwwOjrKkSNHJJeZXq9n69at0m5/9OhRgsEg1dXVxONxRkZGyOVydHV1oVKpCIfDXLhwgd7eXjZu3Mi2bduIRCLMzMxIM1rlAlFbW4vD4ZBM8SI8uLq6GoPBgE6nkxo9yWSS8+fP33B9VFVV4XK5cLvdjIyMsLS0RCQSYfv27ZIgtbu7WwoUXgsi50jU4/z8PIODgzzwwANy4RLvlsvlpPO5WCzi9/uJx+OSssjj8ZBMJikBrW1tjI+Nk1wOMV79nFAoJJkINBqNPB0HAgGKxSKXLl2SZLF6vZ6pqamrTvbiRCQY0AVL96FDh1Cr1djtdtra2picnJR6aoFAALfbjd/v5+zZs+TzeWw2G3q9nsXFRUKhED09PcTjcSnxAW/mtT344IMYjUYGBgZ49dVXZdCQYLPIZrMyD0qr1eL1emloaKCjo4Pq6uobXuzE+0M5KEewXoyOjlJdXY3D4eDEiRPE4/EbztvS6XT09vaWWd8TCc6cOSPlWQTfpiCdPn36NPAm7VVjYyMKhULqkglTp81mo7q6mvr6ekkykM1mV/R3kdsYDofp7++X5VGpVJJ6TKFQ8Morr0jdvp6eHhYWFlhaWmJycpLm5maZr9bc3EwsFiMUChEOh2lsbMRkMnHy5EnZZgqFgp6eHvnsEydOSLkhk8kk1QiKxaIMlPH5fDzyyCNEIhHMZjPHjh0jlUpd163g8XhwOp14vV5JUBAOh2lqaqK5uVky8Z85c+YDGbxyWy9cNzpgK2G1WrHb7VICQWhFTU9Pk11OKK6vr8doMpLJZnDr3Gg0GlQqFUaTqZwMmysreLrdbknVIzqwxWLhxIkTWK1WfD6fnNgEUWlzc7NkZRDvYDQayWTKCbYGg4GWlhZGRkZYXFykqqoKt7tchkQiQU9PD7Ozs1y6dAmv1ysZ2ScnJ6mqqgJgfHx8xQR5tbqrqamRvr54IkFrayuxeIxTJ0+hVCplXkwmk7mhXb1YSATRrNlsxm63S/YMgFKxtOzL00lTUS6Xk2zbgu4IygufTq+npaWFxYWQXLjExKfRaGSd63Q6xsbHiMXjqDVq6urrWdfTQyqdon+gH6vNis1qw2azMTs7e833MRiNtLa1kctmZXmsVismkwmfz0cqlZIbk0OHDlFbW4vT6SQej2O1WiVZant7O0NDQ4RCIVwuFxaLhXg8zuTkpHyWaHONVks2lyNfyONwOrBabRQKBex2O3q9ntnZWfL5PFqttqwXlcuRTKVQqpRlAujrtk7ZtC3KMTw8jN/vZ/PmzaTTaaxWKxaLhQ0bNnDu3LkbCmH3+Xx4PB5JB2a325mfn5eTrmCFt1gsuN1uKdUuEogF4W5DQwPxeFwq+zY0NEj2+3Xr1jEwMMDk5CQ+n0/SIk1NTVFXV0c0GmV2dlZKgQi5FpF4rNVqqa6uxmazEY/HpXrC0tISTU1NqNVqSWZbV1dHa2srx44dw2azYbVa6e3t5ezZs1IMVPQHt9vNzMwMer1eyq8IJovGxkYikQgLCwvkcjnMZrMk0r3egqVSqTCZTFL6JpFIyEVUMK6IOryR+/2q4r23Sb0F3IpJze/309jYyMDAAJcuXWJubo6uri65M1Sr1ezYeRcer5fL/f2EQiGSySTZbJbQYojRsVGGl08mjY2NdHR0SPVes9lMd3c3SqVScr2Nj4/T3t7O9u3bmZqaorm5WepmLSwsMD8/L0lIw+EwRqORAwcO4Pf7MZlM7Nq1i6qqKvL5PGfOnOHgwYPs3r1bCv1t2LCBu+66i0gkQmNjI9u2bSMQCFzXX6LVarnrrrvKASYqJafPnGbr9m0cPHgvDodDUvvMzc0xPDx8w7s6EWAi/DidnZ2cPHlSqi8rAJ1Gi21Z60qj0ZBcppgqFotSgDKVSjE0OMTI0DBbN2+5IopULPjBYJCGhgYCgQCvHjrE9PQUer2eDRs3cO/997HnQx9Co9Xi8XoJ1tbS3Ny8gpT5CigUWKwWNm/ZzJ49e+Qp2efz0dTURHt7O319fTQ1NfGxj30Mq9VKZ2cn9fVl1WghAJrJZNi2bVtZ/LBQwGKxEAgEaGhokI8qFoskk0mWwmFmZmcYGBwgtLhIVXU19953L1NTUygUCgKBgNQJ6+jooK6hnoHBAS5eukgqnaa4rF5wPbjdbhoaGli3bp0UPDxw4ADBYFDyFH784x8nGAzeUFt3dnayd+9exsbG0Gg0BINBent75bi45557yOfz2O12du3aRTAYxGKxoFQqsdlsZLNZ8vk869evp7e3l7a2NtxuN5s2bcLn8zE/P88DDzxAW1sbKpWK2tpatm3bJjW2Ojs72bRpE9XV1VItfM+ePYyPj0uqNqPRyIYNG9i8eTOnTp2ira2N7du3Y7fbWbduHZs2baK3t5eFhQWampr4xCc+QW1tLWq1Go1GwyOPPILH48Hj8fDwww8TjUYlR2VPTw9tbW00NDSwb98+bDYb+XyeXbt20dzcjNVqZX5+nlgsxuzsLOfOnbvuaUuv1xMMBtm4cSMOh4PTp0/T1dXFhg0baG9vl6f8SCTCuXPniMViN9RWv2q4rU9ct8IoUV1dzYYNG/B4PPKIf++999LX10epVKK5uVmaDmPRKEeOHKFYLGK2WGSUnBhwc3Nz0ul67tw5nE6nVFwV4nnJZJKf/exnmM1mKXNfLBZxOp1SU6pS/kKpVEozmM1m46GHHuJv/uZvGBgYIJvN0tfXh0ajYdu2bUxOTmK1Wslms/T393PixAlqa2upq6tjdnb2mhRROp2OBx54gH/6p3/iwoUL5Jbv4V0m8J2cnJRlW226vBbESWvr1q0sLCzwwx/+UOpr+Xw+oGz61Gg0pFIp/uqv/mpFrkp9fT3d3d0YDAagfELesWMHTz/9tCRqFVAoFNTW1lJfX09tbS3hcJj0spTKv/zzP0sW+erqapqamojH47z00kvXZC8olcoyItPT08xMTTM2NkZfXx+f+MQnMJvNlEolKSr6zDPPEIvFpPS6QqHgZz/7mTzJV5Y1Ho9fYSGoZBMvFMt8mhqNhkAgwJYtWxgdHgFgdnaWoaEhPvrRj2IwGPiff/dNopGI5E280bYR/bW6uppUKiVNY6dOnSIcDmO1WvnMZz5zQ0Eier2exsZGtm/fzsTEBGq1mpmZGYaHhzGbzVIRWvD/CdUAkd81OzvL2NgYAwMDvPTSS9hsNkwmE+Pj4zzzzDNyLDmdTvR6PYVCgYmJCTweDyqVisuXL3Ps2DHsdrvUDRO+Z8EVOTk5SU9PDzU1NbhcLu69917GxsbkuJydnaVUKjE1NcWFCxdobm6mubmZM2fOyMXpN37jN7DZbCgUCrZu3crU1BTxeFxu6NRqNVarlYmJCSme+sYbb6DX6/F6vVKKJJfL3VDOqMPh4MCBA5JLslgs8tprr9HV1cX+/fs5fPgwhUJByt18UE9ct/XCdbMQfqBwOMzAwAATExMEagJ8vOfXMJnNpNJpDEajlEMvFcvUQuXdbIWWzrJJrFgqUiyVZTtyuRyhxUVGx2U7rK8AAExYSURBVEbZvmMH8WUS10KhQHNzMy6Xi8XFRSKRiDSJVUJMYsKEJRzoWq1WmipFvkal3IL4E9pQQt/rehCmNo1Gs0I/KrfM83ZL+TXL5UqlUoyPj7OwsEA0Gl2plaaAcCTM9MwMkXCY2dnZFQuJTq/DZDZx/tz58gLvcrIQCmG32/H5fDJ1oVgqks5kGB4exmAwUFVVRXtbW1nRd3GJZCLJwvw8xWIRn89Xpj2Kx68/0ZfK0hfFQnmCTaVSUjerWCoRi0UZHRulkC+Qy+fRGwycOHmShdACNpudltZWpqammJ6eQqlSolAqKFGS/QSFAhQKqfd2RRWiQKvRYjQYJDGxEKxUKpWYluU/biV3S0x48GZ/qzQHZ7PZ60aOynIu902tVsvY2Jjc0M3Pz6PRaGSfFJ9nl82uwkoiFmxhJrbb7eh0uhXs7OPj4wArr1nW6RL9PZ/Po1Kp0BsMWKxWHE4nLOfHZbNZtFotSqVSKp8LP3ClyGil4Ku4TtSHiKgVJjxBRizIeYUJufJ9M5mMlEepHEc3MqbWGpdiXK8elx/kHLjbeuESk3oymbxuIwpzT6lUYmZmhpMnT1KiRHt7O//2c5/D6XKSyWZQKBW43W6cTicms0kuDIrlk5BarUar06FUKVGp1ag15T+UChYW5jl3/jx7PrSHV15+hXPnzlEqldi4cSO1tbU8/vjjUjdKhNSLsolAk8qBAuVkaxHCLK4VLPBqtVr+Xji51Wq1TG69ForFIvF4XNroFxcXUS2/YzgclmbTmwm31Wq00tktWMMrA15UKhVKlYrFpSUmJsaZmZ5582IF6PR6DEYjGq2WEydPkM/n8Xi97B8bxesrK/LOzc2h0WpQKJXk8jkuXbqEwWCgrq6OzZs2k8vmiEVj5At5wpEIeoMBv99PIh5naSl8Q6d0pUKJZtW7Z7JZ8sUCiWSSkZERsrkcSqUSt9vNkaNHGBwa5CMf+QidXZ3oDXomJidQazTodDoMBsOb/QTQaDVl3bNlrbdiqSh9MiqVCqVCQbFQZHx8nFgsJvWcytpoZatBIh6Xk7JGo0GlvL6/V/QXoQkl/io/r9QQu5GJMZ/PMzY2RjqdlpO+EIas1J0SzxGT8mo9LEER5fP52LlzJxcvXpTBHII8tzyZq1AoyxuCyrIrlAoMRgNerweL2QzLApBig5fJZBgaGpLEvLnl9hP3rkz3qKyjys9LpRLT09OMjo7KxU746kTdrb4ekEKeOp1uBYnwWigUCvKEKtIchCjs0tLSihB4Yd79IOK2XrgeffRRdu3axV/+5V9KVdK1IHKlvvCFL0htISgzQuj0emKxGI8++ihnzpzhiSee4MMf/jD79+9nx44d0iQxOjrK4OAgPT09tLe388QTT9DW1iYl09944w1Gx8aIRKNs3rxZqi5DeXCbTCYeeeQRtFotarWalpYWzp8/LyMY7777bhYWFlCr1fh8PgKBABMTE3zzm99kz549tLW18frrr2O1Wunv7+fw4cM89thjNDU1YTKZZM5VZ2cnkUiEU6dOXVXmBcps7n/3d3/H1q1befRjj/LCSy/icrsJh8O88sor/Pqv/zotLS0Eg0G54F9t0he7xC1bttDZ1SkTTEdGRqRvy+/309LSQl1dHXfddRc6nY5f/PyZsrNZoUCj1fDJT36SqqoqNBoNOr2eYjIpBQEPHDhA77peFhcX2bFjBy2trTQ3N1NbV8vly5cZGhriP//n/yyDZA69doh8Po9araahoYHvfe97zM9eP+BAp9PJyEG73Y5KpeLixYv84hfPcN/99/PpT3+aDRs2SGmKc+fOsWfPHhmYMDc3x/j4uGR3uWvnTrw+HyaTSUa6lUol2traSKfTeDwepqenCQaD/Pqv/zrf+cfvsLCwwNGjR/n617/OwsIC4+PjPP744xw+fJjGuUb+7M/+jFdffVVuxrZu3YpKqWL+OgEVra2tdHR00NTUJH0zVVVVdHV1EQqFMBqNUjPM7/dfMzE/lUpx4cIFnE4n/+N//A9mZmYYGRnhySefpKenh8bGRhoaGnA6nQQCATo7Owkvi0ImEgnq6urwer1Eo1HWr1+Py+Vienqac+fOSV+YSqWiqqqKuro6Ojo62LBhA80tzWSyWWx2O83NzVRXVxONxfhf/8//QqVSsXfvXv78z/9cpgr87Gc/Y+PGjbS3t/O1r31NaoP97Gc/o7W1FY1Gg9lsZmhoiKqqKgKBAD09PSQSCbxeL263G4fDwfz8PM8//zxf+cpXyGazTE5O8s///M8Eg0E6OztlOkMikZB8qDqdjsOHDzM/P4/T6eSxxx7jiSeeuCbT+/z8PI8//jif//znsdls5HI5Nm3aJCNOu7q6ZM5i27KF4VYptW5n3NaUT+3t7QQCAQ4fPnzNyDeVSoVer2f9+vUkk0kikQhDQ0Oo1GrsdhubNm0mmUwQCi0yNDTExo0bMBqNKJVKZmdmmZ2bJRqNEQhU43A4gRL9/f3L/jAd6VSKc+fPk8+XpSi2bt3GyPCwjKJqaWnB4/HIsGCxKzt27Bg+n4+uri4uXbok1Ya3bNnC+fPnmZ2dlU5vwdBhsVik/b61tRWbzSbvVV9fj9PpJJvNcvHixWt2aIVCISO/jEYjCwsLZXNpKsngwCAtLS3SB3jixAmSyeQ1Q6SVSmV5IXc6sFqsnDhxQuoZQTnJ1uFwsHnLZiYnp5ifn2e8QopcqVTS3tGOwWBEqVBw8tQpCvk8Or2Onp51WC0WUqkUfX19VAeql6O+bBw7epRkMolCoWDHjh0sLi6WJ/uJcT78kY/gcrm4dOkSp0+dIhG//mlLpVJhs9no7u4mlUoRCoUYHR1Fp9dRX1dPY1MTyWSCSCRKLFaWhPf7qzDo9WQyGSLR6LKW2hJ3330PpVJxWQp+OQq2VCK0GMLv95PPFzh58gRejxerzYrd7uD8uXMYjUY8Hg81NTUkEgmp4isW1a6uLianJgEFdrttWdNpnrllJeqrobGxEYfDgc1mo6+vD7fbTV1dHWfOnCGdTqNWq9m+fTtnz55lamrqujI6VVVVcqGLRqNEIhEGBwdlpKvNZuP48eNYLBZqa2vJZrNSor6xsZG+vj6i0ShNTU3odDqSySRjY2Ns3ryZTCbD7OwsHR0djI6OMj4+Xr6vzSr16Npa2zCZTOXcuL4+nE4HbW1taNQaqWc3PDxMS0sLPp8PtVpNJBJhaWmJ0dFRenp6pNzJ6OioFGg8c+aMPE1t2LCB48ePk0qlqK6uprq6mkKhQDQa5fLly5hMJhwOBy6XS2qSdXd3Sx/35cuX2bBhA1qtllQqJcPkr2biFSfonp4eADnmRVqF0WikpaUFq9Uq5U5ud02uW6F8uq0XLnFcficaTqPRoNVqrzhlaDQaFArFNfPHtFqtNDEKCJlyoXisVqulT0GlUq3wP6yGWOj0er3Usnq7IExDRqPxuuKLtwOE2Seby/KZ3/otDAYDP/zhD4lGIhTyb/3dRF1lMhnZ77RarfRBivYVZRFmnVwud01uPjFhVVoNjEaj9LtU6ktptdoV/o730lwkQttXl/OtQKfTSbmVa2mSrV2gcr3lsrkV84LI7btemsj1IHTARHveKITp8GbyTjUaTTlVJR7/lQ7C+MAtXHdwB9fC1//6rzAYDHzpS1+ikM/fWLLTHdzBHbyruEOyewd3wJuqt6dOnESpUpZPWncWrTu4g18Z3Fm47uBXFpcvXy7/4/YzKtzBHdzBNXDHVHgHd3AHd3AH7xluxVR4W1M+vV24kYTddwIiMOJG8qREgIYIPvhVw3vJWP6rjsocsXeqjkX7vR19892U6hDlfifr5kbLcaPJ33fwATAVKhQKmUMjKF4ERChrR0cHR44cIRKJvCtlEsmIvb29xGIxxsbGrsk5ZrFYMBgMkuE8HA6vIGq9nSFYyuvr6zl37hyJROJ9Iz//dkCv18uIzZuNRHs7ILSgbDabpHkS+YVvF7RaLS0tLRiNRi5evHjL0alqtRqTyURPTw+hUIgLFy68reVcDcG0X19fT19fH4lE4pp0YG8FRqMRu91+BcGzRqPBYrHQ09PDwMAAS0tL101DuIMPwIlLJGn29PRcQbPk9XrZtGkTf/Inf0IgEHjXyqTRaHA6nfzu7/4uDz74IC6X65o7zOrqatrb29m6dSsHDhygs7PzXSvrOw2r1cqWLVv48pe/TG1tLSaT6aauX2uH+n7atTocDpqamnA4HDctFPl2oK6ujg0bNrBz5062bt1Kc3Pz23p/EWb+4Q9/mM985jN4PJ4bErVcCzqdjkAgwBe+8AXuvffet7Wca8FgMLBp0ya+9KUvEQgEJD/mOwGXy8WGDRuuEJ01mUzU19fzh3/4h/T29t5xgdwgPhAnrquZMMbGxtDr9VIH6q2gra2NUqlEPB5nenr6mrQu2WyWubk5ySxxvYl27969FAoFvvvd775jeWvvFUKhEJOTk1JK/mZcrgqFgvb2dvL5PPF4nJmZGaqrq7Hb7YTDYRYWFt6xHfTV0NzcjEqlkuV5r0xAQim6vb0dk8nEd7/73RVcmG8XisUi4XBYMtm/FSSTSfr7+6/JgvN2IhqNMjc3J4lw32msNQdFIhGmp6cZHh6+c9K6CdzWC5fQuXE4HJJOZ3FxEYfDIZOEE4mE5CwTUCqVeL1ezGYztbW1V5zEhExCqVRifHxcavA4nU45oGw2G5OTk2QyGdRqNZs3b6ZQKDA9PU0ymZSCkGuV2WQy4XQ6sdlshEIhOVkLfjKr1crc3BypVAqbzUYwGCSfz1NdXS3ZOGw2G16vl3g8TjQapVgsYrVaJeu6kI2Ynp6mUCjIZEafz0c6nZYM2oJVRIheCmYRl8uF0WjEaDQyMTFBJpNZM9FVkIza7XZGRkZkAq7H45FErm63m1gsJlkg4E0WebfbTU1NDSaT6ZoT/OrniOTULVu2kEqlpF5VV1cXNTU1DA8PA7C4uChZDwQ/5MTEBHq9HrPZTCaTwWq1otVqCYVC0mQr9KAymQzhcFgyJqRSKcLhMFqtFoPBQE1NjWTiLxQKrF+/Hp1Ox+TkJOl0Gr1ef4XEularxeVyodfrKRaLTE9PS3Jkv99PLpcjmUwSCAQkMfO1mMXdbjcGgwGtVsvc3BzpdFou6oFAALVajc1mY35+/qp90ul0YjabCYfD6HQ6lEqlfHeNRoPL5ZKs6qlUCo/Hg8ViQavVSvLayv4hzH4Oh0PWWygUkqZTs9ksf282m5mYmJCsGsViUdaRw+EgHA4TDofl74UmmWgf0faij/v9flKplDT9OZ1OWTder5discjMzAzpdFqS4xoMBqqrq/F6vUxNTUnuRShbZgwGA0qlkomJCfmsqqoqUqkU6XSampoaQqEQiURC9q18Ps/U1JRs/8okctGnbTab7P+VvnYxT9jtdqanp0mn079SJvS3itt64XK5XAA4nU7q6+tRq9VcvHhRKpsuLi4yMzODTqeTnUIwUAQCAfx+f/k6jVrujHU6HbW1tVitVlQqFTMzM2g0GkkDtLCwQKFQoLGxUU5iarWaTZs2kcvlMJlMDA8PSxLOSqjVapxOJx6Ph7q6Otxut+SD02g0OBwO/H4/wWCQ8+fPs7S0hN/vx+v1olAoaG5uZnZ2FrVajdfrpa2tjfn5eWZnZ4nH41LeYXp6mrq6OpLJpJxsBIN6S0sLkUhEKqoKKqa2tjZ5SonH4wQCAVwuFza7TS5yqxcujUaD2+3G5/PR0NBAOByWKsd1dXVSzqGpuZnQsvZYJBKRhKper5empibq6+txOBxXNZeKidPn89HY1EQkEilzwel1bN26lUgkwsDAAAsLC3R1ddHe3o5arWZxcVGKgwr+O/G5kM2IRqP4fD7MZjNjY2MMDg6Sz+fx+/3YbDaWlpaIx+M0NjZKolNBgupyuejt7eXChQvMzc2RSCTYsGEDBoMBg8HAxMSEVOzV6XSSPcFutxMMBrFarZIDUsiedHR0SP2mdevWMTIywtjY2Jq8gYIjsqqqCrvdLmnK5ufnKRQKtLe34/P5KBQKBAIBIpHIij4pAn4cDofk2hsdHcXhcKDWqIlGyjpxRqORnp4eLl68KNn1/X4/gUAAs9nM4uKiHF8lyhtDsYDU1NSQz+eJxWLE4jGsVqvs/4KEuaamhnQ6LRddKPuEBL/l6Ogo+XxeLqpWq7Us9mo0EovFyGQyLC0tyWe2trYSiUQIhUKEQiFJjXb8+HE6OjqkykOln9hsNuNyuzAYDBSLRSlOKcyXQjFicXFRqgV0dXVJTb3e3l6GhoZYWFjAYDAQDAZJpVIsLi6uYNKvJBYWCtR1dXXlOl+uQ6VSKdWPhQtjfn6excXFG5sYPwC4rX1cu3fv5hOf+ATDw8MEAgE2btwo+cRUKhVnzpyhWCyybt06PvnJTy7zCG7l4x//OMlkkmPHj3H4jdfLN1NAU1MTX/ziFwmHw5jNZh544AGam5txu9243W6+/OUv09nZiclkora2lrvvvpuNGzdKs9DA4AAnTp1kZm6WZGrlsd9sNrN9+3bWr1+PwWDg6aefZmFhQco97N+/n5aWFtRqNZOTk+zevZuPfOQjXL58WZrTDh06hMPhoKurix07dnD48GFaWlr4D//hP2AymXjwwQf5zGc+g1arpaqqiu7ubj784Q9LgcvPf/7zHDp0iFAoRDAYRKvVsnfvXg4cOMCzzz7Ltm3b+NjHPkZrayv33HMPHo+HVw8dora+DrfHveJ9LBYLBw8epKGpEafbhc1hZ//+/VLG/cCBA9x3333s2rWL0dERPrR3L7/3+7+HUqmko6ODLVu30L2uhzeOHuHY8ePEkwmKlK7IEzabzRw8eJCm5iZcHjc2u419+/fR1dNNdHmCHxgY4NSpUwwNDTExMcHExAQnT55kfHwco9HI5z//eRYXF1lcXKSpqYndu3dz4MABHnjgAQ4cOIBOpyMej/PVr351hcn37rvvZuvWreTzeemrEkz/O3fuZO/evQwMDLB//34effRRqcY7NDTEyZMnmZ6exuVysW/fPhobG3G5XPj9fv74j/+YbDbL2bNnMRqN/MZv/Ab33XcfSqVS/ruxsVESCv/u7/7umifR6upqPvKRj1BTU8PS0hJHjx7lj/7oj7jnnnuw2WwMDg4yMjrC8OgIZ86dvaJPur0e1i0LP87OzvLqq6/K05nf76elrZV8IQ+KMt/m7OwsVquVBx98kGQyyeDgIOfPn8dut6PVaSkpyuOopqaGDRs28NBDD3Hq1CnS6TQPPPggu3bvpq6hHrvTwac//WmpT1dTU8Nv//Zv8+ijj4ICNDotWr0OvV6PxWJh9+7dfOYzn0GlUvHwww/zqU99Sj7bYDDwV3/1V9KP/Xu/93uyj9fU1JDNZtmxYwcf/ehH8fl8ZLNZgsEg/+Nv/wZflR+UChRKBf7qKgrFIuFIhP/ja/8/Nm/dgtPl5Iv/7g9QqJRkclkefPgh2js68Hg9qLUafvOxx7jn4AEam5uIxKI8/JEP85X/zx9hMBiora2lt7eXgwcPYrFYaG5u5lOf+pTUD9u2bRs9PT1MTk7y4osvSioqvV5PbW0t27dvx2az8corr/DlL3+Ze+65561Ol79SuK1PXCaTia6uLorFIidPniSRSPDII4/w4osvMjQ0JOU/BIGoWq0mEAjQ2trKE088QTKVLJPS5nKUiiXm5+d56aWX5KmsVCphsVgkgWg+n2dhYYHR0VHMZrM8KQhewmw2J80Pq301FouFffv28eqrrzIxMUEulyMej5NOp1GpVGzatInZ2VkmJyfJ5/MsLi7KCDthzkin03R2dkozZ3Nzc5lg9Px5FhcXSafTpNNpJiYmpIBiMBhErVbLXeYDDzzA7Oz/v70vDY6rOtN+er3qfW91t1qSW4u1WJItLyjGYANWvMRDYpaBAZKYFBMKYjKBEIqCIiGT+TKkmKn5MVMU82cqHtYEqnCATAAbvGG8YWFblmRrX1pLq9X7rt7u9+P2OXTLkiwbYyN8nyonqO92znvPPe857/ZMwuPxYMmSJbBarTCZTFi2bBn8fj81r1osFihVKoSjEfT09CAYDBX0J5FI4Ny5c1CqlDAYjdSnIpfLkc1mafFPt9sN5+go/AE/1BrO3Ldy5UrI5XIcPvIZYtEoEgku2m02P8P09DTOnTsHhYrb4QgEAqjIczIcJ1YymaS8VeRfIpEAy7JQKpWoq6tDd3c3Xfl7vV5aRd7lclHSzHg8ztHWSKVIJBJ0ZUxqEMpkMohEIvj9fspYXVRUBK1Wi0Qi8SUpZCZD20Mi+QQCji5HIBDQNoZCIXR1dWHDhg1gGAYffPABkskkfD4fNbtWV1fTfs8cU3q9HmvWrMHbb7+NqakpJBIJuFwuKJVKVFZW0jakMxmkkkmw2cLrS+12rLtpHd5/9z367rPZLPx+P0pKSrB56xYcO3YM04kEBgYGkE6nodfrsXTpUhw6dIjuZrnxMA1VLhWnqroKGrUGk5OTHHO414v+vj40NDSgq6sLExMTiMfjmJqawsDAAJLJJO666y4UWywAuNqLoVAITqcTmUwGa9asQXl5OaRSKYqLi1FcXAy/3w+BQIBIJAKGYWA0GinRJxnjxGw/PT2NWCyG4eFhTExMQJDjyWIYhiP8zO2+JnM8W4RaJhqN4sCBA0gmkzCZTMhms1AoFZAyDPyBAKaT0/B4PJTgtKmpCQa9AcMjI1CpVHRXSsYPcTOUl5dj1apV2LNnD3w+H6RSKaWvUalUqK6uhl6vh1AoRFVVFXp6ejA1NQWlUok1a9ZAJBIhkUjg9OnTiMfji76+6OVgUe+4JBIJ7HY7AGBgYABOpxPLly/nqnTnCBuj0SidxMRiMYxGIzWbJOK5DzvFBQXE43EMDw/TQrrxeJyyr0YiESSmE/D7/ZicnMTQ0BAkEgklp+RI+TgFxmazF5QYKioqQlNTEzUfsCxLJxYyQI1GI8ctJBBQ3h9STJX4EMrKymA2m6k5wefz4cyZMwiHw5T0cGpqCqOjo/D5fJSaIx6Pw+PxoLGxEVarFUKhkJrDFAoFte0PDAzQdqnVKtTV1c3q1M9kMpiamkI8d+709DSkDMePRnYsgUAAHq8HXo8HoWAQiXgcDMOgsrIStpISuFwuSuBHfTgzNhbkOeRdTU9PUx42lmXB5hFqEmJEokBIAVjCgCsSiSgdic/nQzgchsfjgcfjgdfrRSQSofxMM3mT8ovkEt+P1+ul/kMSMZhPCEpYarnq8Cz1JRHlRsabwWCAwWCgCjcYDMLlcsHpdFKFORuIggqFQohEIpSVm5iSM5kMMkQmmQsXBUaTCQ0NDfB6vQiFQojFYpiYmEB/fz/GxsdhtVphsVgglUoxMDCATCYDjVaLsvJyxONxBINB6n9Kpr70v1gtVuj1evj9fmQyGYRzpKolJSU0GIqYsScnJ9HZ2QmWZVFUVETJSGPRGGUZjsVilJtKo9FAo9FQPzIZN+Q7zB/jACgpJGE8djqdcOV8RqKc2Y5c53a7MZVzBbAsi2QqhZGRETp3EBOhWCxGOrco8fv99FuNRCJIZ9Jw5xagxN9OxgGZh8xmM2pra+F2uxGLxSj5aiaTgUwmQ2VlJYqKiihXXmdnJ1wuF6RSKRwOBxwOB+x2OzU9Xo9Y1Dsu8pEDnDNdIpHg4MGDaGlpgVqtxjvvvAOgMLmVTB5SqZRjKoWAzpVLly7FQw89hFdffZXyKmXBAkIBN6EKBF/+9ywQQAABi1nr4pEkR0JSmZ+3RWzgbrcbX3zxxQU5WjPNROQj/OSTT6jDNp+wkfxNfpNIJBgYGMArr7yCuro6fOc738F3v/td7Nq1i+7uPvzwQzp5mEwmvPDCC6iprcXG1o24++67cfjTwzh65Ahtg0qlwrZt2wChALFYDGfPnsXK5mb6/PkizIRCISV4DIdCnFypDAuhVCrxd3/3d4CQW0icPXsWzc3NBefNlrycn1haVFSEEydOoK+vj9LK6PV6es5sbSWTVb7DnPiEqqqqsHr1ahiNRvz7v/87brrpJiiVyoLnkgkl//6EH8xoNFIWY4FAQANX5pLbXJGWhL1Yq9XC7/cjEAhAKBRSpSIQcONRMEegplQigVqtht1ux9jYGEKhEAQCAaanpxEOheDz+bB69Wp0dXbi/ffez02kWixxLIE4R+bJ5kgShXn9TKXTkAkEMBgMBSSNwWCQfnMEhLZnZGQEgUDgy/JcuVPyrRfElKZUKimjApFZLEfw2dnZScf4hg0b8MgjjxT0mRKD5hYU2lwgS56wuW8HXFDG008/jb/85S/wer1wOp0X+Ajzr5vvneWPCcIEQIJI8s8h9/R4POjp6cGJEycKdtuvvPIK/bbzv/HrDYtacXk8HuzduxeVlZVYv349lEolPvjgAzz00EPQ6XTw+/1wuVyw2+2UM8fpdKKjowOPP/44uru7qR3d4XBQdtSWlha6uluzZg0UCgUCfj+9h8ViQVVVFex2O13Vu1wu6HQ6bNy4EZFIhEazEQQCAbz33ntoaWlBU1MTTp8+TSPdQqEQPv74YxQXF2Pnzp3o6enB4OAgvF4vpqenUVxcjFgshrKyMpw6dQoNDQ3YsmULjEYjfD4fAoEARkZGYLFYoNPpYDKZ4HA4UFFRQfm2rFYrWlpaMDAwQHc6586dQ319PaqqqvDoo4/SXdLIyAiam5uhUqvpzsLvv9AxnM1mUVVVDYDbUdbX1UMkFOHs2bMoLy+nUXVnOzpycuOCQ9rb22EuLsaDDz6IY8eOwWg0wmAwoKGhAZlMBn6fnz6D7DSrly6FUMQFz9TV1VGT4cTEBPR6PW699VbK/xUKhdDa2opPP/0U2WwWJ0+exD333INIJAKPx4Pjx4+jvLwcS5YsAQAaTWg2m+FwOBAMBtHT0wO5XI6amhrceeedsNlsdNV/9uxZ6PV6VFRUYP369SgrK4NAIMCSJUvgz42TjRs3IpVKobS0lAYOff755xgbG0MkEqGcSjKZDCdOnIDH44HJZILBYEBJSQkqKysRCARgtVppAIzP5ysIEx8bG8M777yD1atXw2q1YmBgAAzDwOVyob+/HzfddBMqKipo5G0oFCrYOfcPDGDPnj148MEHMT4+DqfTib6+PgwNDSEajeLEiRM5s+k03Wk6nU588cUX2LlzJ8dVl3tWWXk5rFYramtrcS7H9XXzzTdj2bJlNFdp//79cLvdEIlFKC8vx5o1a6BSqSCXy3Hy5EmEw2GU2O0wm0ywFBfDbrfDbDajtLQUBoMBSqUSHR0dCIVC+P73v4/JyUkolUqcOnUKHo8HFosFN954I/r7+2nUIFmA6PV6bN26lcrv9ddfRyqdhi7HSVddXU0jcsk7IO6BpqYmpNNpaDQarFy5EqocN5zJZEJJSQkcDgfSqRSsVisNqqioqEBlZSVKSkooMafRaMTSpUvh9/tx8OBB3H///Th//jzC4TA1wY6NjeHQoUO48847sWzZMtTX12Nqago9PT3o7e2dlxrnesKiVlzEVk7C2ePxOPr6+jA+Pg6RSES39YSIL5PJYHh4GAKBAA0NDZRHqKenh5qsiC2fmK8kUs4klWVZdHd358gZuVB74isSCAQYHR1FJpOB0WicNaw7Ho/j1KlTsFgsNGzX5XLRSK+zZ8/SHZlSqaSRkJlMBqOjo9QX5nQ6YTAYEI1GoVAokEgkqG/G5XJhenoaQqGQ5jYRfxrZfUQiEYyMjMDlcsHj8WBsbIyG5mezWRrGzzAMUqkkxkb9mHS7EQwUVhUhZimT2cSZImOcCZSY27xeL5LJJCKRCAQCATweD0ZHnWBZFn19fQhHwqisrEARU4RkMgmn08mZ52b4uTKZTO45ZkikEsRjMfocgMvFs1qtUKvV9LkSiQSVlZVgWRahUAhffPEFamtrafqEWCymPpZwOExNdwMDA5TvLJlMYnR0FHK5HAqFAtFoFOl0GiKRCLFYDF6vl4bRk2oIIpGI+suIOTaRSGBqagqRSATBYBAejwd9fX1IpVIoKioCwzA4f/48QqEQhEIhhoeH6ZgSiUSYmprC4ODgrGMqEAjgzJkzuPnmm2nKhsvlou+WmIfj8fis10+53Whvb0ddTS0YhoFMJqM7pFQqhUmXCxKJFH4/t5Dgwsgncfr0aaxYvhwKhYKWkvJ5fXRcjI+PU5M4MX1Ho1H09/cjlUrBoNfT9nLjjDPJxRNxaHU6DA4NcQouV4bJ6/ViaGgI2WwW/f39CIfDNKF7enoaHR0dCIfD1BycP8bJJE941Ijcus6fo/7cL8ceCzbLorenB5FwhI6JdCqFLMvCNeGCVCpBJp2GAAIMDg7Cn4saFInFtDIPkV84HMbY2Bj9rvr6+mjEos/nQ01NDTX3OZ1Oav4cGBigEb/Ex06jNnmlBeA6LbJLykCRQApidmBZFgKBgBL4JZPJSyKyE4lEkEgk8+bcEBMRCUTIJ5Ak4dIkP2W+Z5KKBflO34v1WSgUQqFQXHCNSCSCSqWifhKAqypATBT5O8eZIP6XeM5/RULgLwZiLsk3ecxHiDjfc4hJj8hdIBCAYZgCplm5XM75LXLBLgsBuS8hAMx/V4Q8kuTxAaBmWzIO8kklZ4Lkd13sPS8EpL8Mw1xW2TKirIiZEOByjG688UacPXv2AusB8CXJZSqVmncyVavVNEgF4HxRxcXF+NWvfoU333wTJ0+enHd8zQaSBkAWdqTNRNmTb5v8/k//9E+orKzEc889d1nlqMjYSyQSXDBHzof6VUEIM/MJQfNlKZFIqE9wEU7TCwbPx7VAsCxLnaJAoR2dTNRkQM100s+H+ViMCWZO6vn3JtcvhEk2m81e0oAmZtDZGJSJAz3/gyZJrBe7f76SvpQESSLb/L8v9zkzFxYzmYjJ9ZfqEyD3JXKYGaxBJu2Z75S8x4tVTwFwRSo2kP5ebkUVEshCoNVqYbVaUVVVhfb29lkXYguVJ9kZExBLiEQiQTqdvqwKGUTmMyd6sviZyRgslUrBMAzi8fhlyZv0f7Z3/VUwcxzPlGU6nUY0Gv1WK63LxXWpuIDCCWPmwJjv2MVwsfMXcnyhz7ycj3Cu1ebM3xfajpkTx0LxVeQ627Uzf5vvnV7qcy/2vIW0ZyaudIkhsjD5KtcTFBUVQSqVctGCcyzcFtr+mecxDAOFQoGpqSkaDHQ5pY7mG5/5QRsqlQrhcBhut5tW4bhU5XO5Y/xS7jvXcV5pzY7rM5aSBw8ec0IqlSKbzaKtrY1GO14pqFQq6HQ6nDlzBizLwmg0Xvyiy4RIJILdbsfQ0BDOnDlDK9jzWPy4Ln1cPHjwmBukriLZxV3JKYL4DEUiETXFfp0JtMRPKRAIkMlkLuqT43H1wfu4LhH5OU/X4rnX4tnfdpBJ91IrzfP4EgtRJkSxXaqMScTu1cLVfh6Pq4PrVnGRQq8kAfRKglSjn2nfJzlfAC4puo1cKxQKL+r0/7ZgLhnOBZIcLJPJaERffoXvbzJIYupi8GmQyiIkFP3bUrE8Pxn9eiyhtNhwXSouiUSCuro63H///ZBIJHjyySev2L1FIhFuvfVWDAwMYHBwkE68pJL6z3/+cySTSezatYtSJCwEarUa1dXVmJiYQCgUuuLK9psEiUSC2267DefPn6f5cRc7X6lUYsOGDdDr9bSQ6csvv/y1s+heCdTW1kIgEGBqagoej+eqcENdLiorK3HDDTegvr4eH330EQ4dOnStm/SVIRAIYLVaoVKpIJFIaAkqHt9cXFJwxgsvvECz3c1mM7Zv347u7u6Cc2655ZaC1YtAILig7MrIyAi2bdsGuVwOs9mMp5566qqujAlvVmJmuZcrALLyn1lDLJPJUIUTj8cv+lySvU/oDvLv+3WSEqpUKjQ1NV0Ttl4C0teFhOMDwJIlS3DjjTdibGwMHR0d6OjouIDf6JsCkUiE0tJSymdFfiMmzm8Se/NsCIVCGBoZhiSX3P9NgFAoRE1NzVdiMScWjZncfDy+mbikkXfw4EHs3LkTa9asQTqdxrPPPotNmzahq6urgHL9pz/9KX73u9/Rv/MjeTKZDLZt2waLxYIjR45gYmICP/7xjyGRSPCv//qvl9wBgUBAkzlJsUogly/CcMSB6VSahsCSBN94PI5kMnlRhVlUVJRXATtBB7hUKi1IWhYKhQVhuPl1x8jEBIDmiBEQ04tEIkEqlUIymYRQKKTlY6ampmjFBjKxSSQSKlNiciQ8QqTqg0QiofeeK3+FJMqSTH+Ao5pfuXIl3G435dYiUWbZbBYSiYQm9pIkUFJElGVZek+StEuqdpAqJlwV/eS8u4r8yXumwibHiKOdKIKVK1fiz3/+MwKBAK2iQc4lPGvkOlLVnCRBZ9kvd8WJRAJslqXJoeQ5ZFIjyepEsZLCq/k18Mj7JWONJEezLHff6upq+P1++P1+xGKxghp2+eOCtJnIl9xTKpXSNkmlUvp+F6LkiZmPFA3OZDJ0nJAxTNgEZuZvMQyDLMsxHrNg56zZSWTFMEwBW0L+YohU3c/vGxnbhHSRBG8QGZLK7SSBn7xHmUyGuro6TE1Nwev10sr++d9pfsI6+Z0EiJBvLn98kT7kFyBYDGbn6wWXpLg+/PDDgr937doFs9mMtrY2rF+/nv5OSOBmw549e9DV1UVr861YsQL/8i//gqeffhq//e1vKUvtQiGTyXDTTTfRfI19+/ZR1t2GpkYIBAKMDI+gJ7cztNlssNvtcDgcKM9VuZ4N5CNavXo1rTz92WefQSqVQqvVoqmpCS6XC+l0GgzDQKVSYXJyEsPDw/RDJROBwWCA2WxGXV0dampq4PF46HM0Gg1KSkpQV1eHc+fOobe3FzKZDK2traitrcWZM2dw5MgRWraHYRgYDAbYbDawLIuenh6MjY3h1ltvRTQahc/nQ3t7O5YsWQKz2Yzi4mIcPHiQ1l0jINXhSc283t5epNNp1NfXY8eOHRAIBOjs7ERfjo4iHA4jHA7D4XBQGpW6ujpYrVZEIhEcP34cqVSKVr42Go3o6upCV1cXZDIZ6uvrYbFYEI1Gcfr0aVpGaCaIUs5ms7QihNVqhUKhgEwmo+/C5XLh3LlzlDhw5cqVGBoaovQlAOg7YBgGN910E626f+7cOUilUmg0GtTU1CAYDiGdTqOurg5HPvsMsWgMzc3NXNmjyUl0d3dDp9OhuLgYZrMZLpeLVjr/6KOPUF9fD51Oh3Q6jVOnTtGkW0LQ6HA48Omnn2J6eho6nQ47duxAT08P+vr6kE6n6eQqkUgAcOHoCoUCq1evBstyDAdHjx6lY2/FihUYGBiAQqFAXV0dDh8+DL/ff9HQdalUCpvNhlWrVmFoaAgTExOYmJiATqeDzWajCyWbzYZsNovDhw8XLPhWrVoFW4kNVsomPbvm0mg0sNlsWLFiBeXGikajWLFiBQBOERMmbr/fj7a2NgDcbr+yshIWiwV+vx9DQ0OYnJyk9f7i8Tgt9RSLxXDq1ClIJBKsXLkS27dvx+joKMRiMY4cOQKFQlFQG9Dr9aKnpwcAl2C9fPlyGAwGDA8Po62tDXK5nMqf9MFkMlEyT7fbTdnHeVx7fKW9Pikvo9frC35//fXX8dprr8FiseD222/Hr3/9a7pDOHr0KBobG1FcXEzP37x5Mx599FF0dnaiubn5gufMLFEUCnHcUNU1S1FqL0VPTw81E0gYKb7zne8A4KhOWlpaUMQwUKtUMJlMCAaDCAaD+Pzzz9HY1ASZrGjWvtXW1WLVqtVoO3kSHo8HSqUSP/vZz/Dhhx/CPTUFKcOgqroKbJalnFGBQABCkQit3/0u9u3bh8nJSSxduhQ6vR4CAXDk6FE0LV/OUUAIBFi+fDkkEgkkEglUKtWXTK1ftCEQDGLS7UZ3bw/cninotFqsXr0a7e3tlDtqzZo1CAaDGJ8Yh8lswuTZSQSDQbS0tNDVrNfrRWtrK4aGhnD8+HHaP5lMhrv+/m60nWxDR1cnlpSVc6SVPi8isSi6znVh2DmCLFhs+d5WTLndGBwcQjqTRnV1NVX44XAYcrkcd999N/oHBiASiyBXKuD1+5BlszCZzbjt1lsxNjaG0dFR2OwlEInnNseQ3dnmzZuRSCSosqytq0Mmk8bx48ex8baNXJ3HUAjBUAiBYADBcIgqRGKCEwgEKC4uxtatW3HmzBlYrVb88Ec/wu9///84biWFAnfddReOHjuKgcFBWK1WbP3e9xAMBDEw0I/bNnLP8fp9kIolWLZsGW666Sa89tprtNjyj3/8YwwNDUEqlWLTpk2U9kYoFKKlpQXZbBYejwd33HEHjh49iomJCcq3NTQ0hEAggA233AKhSIienh74fD5UV1dj5cqV+OijjygD9p133YlTp05ByjC4/fbbsWfPHmp6vv3229HR0YFPP/10TrmS70wkEqGrqwv33nsvTp8+jXfffRcSiQSrVq1CY2MjXnvtNej1eiiVSggEArS1tUGlVmH9+vU4ceJzhKMRRKJRlJeXYyYNglgspqzQMpkM4+Pj2Lx5M7q7u3H48GGUlpZCp9NBJBKhra2NFqwlFgeyy+nu7obD4cCOHTvwyiuvcEzlFQ7odXr09vUiMT2Nja2tkCnkHFXJ6Cj8gQBcky709PVSRm6r1YrDhw+jeWUzqpdW07qKZAFEEqy1Wi3sdjut2n/27FnccMMNsNvt+Oijj2C326HX63nF9Q3CZScgZ7NZPP7441i3bh0aGhro7/fffz9ee+017N+/H8888wxeffVV/PCHP6THXS5XgdICQP92uVyzPuuFF16gPDwajQalpaX0OqvNSrl0fH4fhEIhamtrUVFRAZZlcyt4BfR6PZqbm6HRaBAMBjE2NoZYLIose6HJQyDidiPNK5sRCoXg8XgQCoXQ3NwMvV6PbDYLn98Hg9GIYksxpFIpfD4fgqEQsmwWJfYSaDRqMAyDZcuWQaPVIJlKYWxsFKFwCNPJJCAApDkiO7K7MxqNsNvtSKXTiCfiiEQjdLWazbLQ6XSULM/v98NqtUKj0XAmqVxl61QqhcbGRhgMBrqS1+v1dDInEIlEqKyshE6vgzTXhkQigViMM6G6p6YQCASQyWRQWloKrU4HCLjFirnYjJqaGhohSWjItTot7QPATWtiiRg2mw0mk4lS1V9sXAEci65KpaK0JCaTEWqNBj6/H3K5HHq9HkaDAcnkNOI5Ak2Xy4VQKFRQGUEkEkGpVCKZTKJIJsOyhmWQSKXIZjnF7nA4IJfLackkm80GW4kNvpwCJDQ02WyWUsYTjifiWwE4EzCpck/aTUxjqVQKdXV10Gq1SKVSiMVi8Pv9tAagUqmERqPh/l+rhc1mQ0VFRa4qvx/pdBot3/kOtDodJBIJysvLaVTf1NQUli5dCpvNNq9cAdCIy1gshqqqKspZRcYIqehP+lZVVcVZC0xmLK2pQSQagdvtxuTk5KymXlIrkGEYSnZYVVVF2yaVSqFSqaBWq2kQCmEHbmxshMPhQDKZxNTUFLLZLJYsWQKLxQK1RsNRquh1HBdaMACmiKG+wkAwgHgijnCOlaGkpAQWiwUqlQquSRfHI5bbXZvNZhgMBpSWltKQfmIyVqvVNCHabDZTOV+vnFffZFz2G9m5cyc6Ojrwpz/9qeD3hx9+GJs3b0ZjYyMeeOABvPLKK9i9ezf6+/svu5HPPPMM3SkFg0E4nU4AnCmGmFJ6e3tx/nw3MpkMXbGuXr2aVgGfmppCc3MzGIbB6OgoYrEY4vHErOG8DMPAYDSivLycI0P0eCj5o8FggKyoCJ98/DGUSiUMBiP8fj9CoRCikQhi0SgCgQAlANy+fTump6fR2dkJgNuhkBqDJz//HB0dHfB6vQC4iUWtUYPNZpHN2dSJnyie4+Ai/FldXV1cVXedFlKG4cgEo1GIxWK0traisrKSmrY6OzsxODhY0EeWZREOh3HbbbfhnnvuQW9vb65eIZf/lJyexnQ8gUSO24mYdz89dAhGA0dZYbFYUFxcDKFQiGPHjmF4eBgajQbbt29HaWkpRCIRvB4PBgcHceONN+JHP/4xVzU+lcrxm134rtPpNGKxGOVuSqfTmJiYwPjEBMbGxjA0OIgzZ87A7XajpKSEC+DI+d/yyR5JH8fHx/E///M/kMlkKC4upr6teJwjKgyFQnCOONHV2YkTJ07QHdFAfz86Ozrg8Xhgt9upuSkYDKK7uxunT5/G6dOnEQ6H4XQ60dPTg/b2dqjVHMvz+Pg49u/fj6GhIajVao7ePreQIH4z4p/0ej3UerG0uppSkBC2gq6uLqxfvx4atRrxHAEjacPJkydpBfuL4b333sORI0dQUVFBF0wkmpHwefX09KCtrQ3nz5+H3W5HbW0t7KWlHFtCjs3Z5/PNqrhSqRTGx8dx+PBhtLe3Q6VSQavVQiaTgWVZykYwPDyM4eFhHDp0CMeOHUNlZSXWrVuHyspKdHZ2IhqNwuPxoLu7G42NjVCr1XC73dx1Q0M4f/483n33XTAMA4vFQn3V6VQKmXQaLS0tkMvlGBgYoGwEff392LBhA9LpNIRCIe688044HA4wDAOv14uJiQnKZABw/myZTIYnnniCVv3n8c3BZZkKH3vsMfz1r3/FoUOH6Op6LrS0tAAA+vr6qP36xIkTBedMTk4CwJx+MVL5eiZMJlNByRgBQFd8gUAA+/fv5z6wLAuZTEZNICQQYq4Armw2C7FYTAnr8oMFYrEYYrEYimQyjIyMoKKiAtu2bcMXX3xBzWf5ZIpisRhajRZ6vR6RcJjO1UKhEOvXr6dUEn19fbBYLF9OQHmOYkHuf/LbkclkcOTIEVgtVtx33334+OOP4c8xrkqlUgwODuL8+fPw+XxUASLv2el0Gm+99RZsNhusFgt++ctf4qWXXuLIMAWCC8gd83OMhGIR0tkMznZ0wOv1cA74dAY6vQ4njh9H9/lu3H33XRALRWAkUvT09sDlnoTNasVjjz2Gl156ifryJl0upFMznN4CFCg2gUAwVxwA5nyJ4MZCRUUFfvKTn+CNN97A4OAgZcb+8vK5k8Gz7PxkfbPVR2RZFgqFApWVldi0aRP6+vrQ1taGe+65Z0az8wgs89qQTKcgkUqgM+gLEuQLauwJBWDzZMTm/gmFQpQ7lsDn9SEYCFwgiwd/8hNMJ6fxf//3f/D6fIhPJzhiVBYFMmfB0vsLREKq9PMj7oRCIWa+FYZhYLfbcfPNNyMajWLv3r34/g++z/Uvr53IWTl0Bj1UahU6OjrookKv13O+utw1wVAwV+hYSAkxJRIJSkpKMDY2Rhd9+fJMplOQFjHQ6nQ5olgB2AwXVJJIJDA6Oopnn30W27dvB8MwNECFQCqV4vPPP8fIyAiWLFmC1tZWNDQ04OWXX551HPC4+rgkxcWyLH7+859j9+7dOHDgABwOx0WvOX36NABQs8TatWvx+9//Hm63G2azGQCwd+9eqNVq1NfXX1LjyUBftWoVotEox5Pk98Hv9yObzaK2thbhUAihUBjJ6WmMj4/DYDBg9erVGBsbo0R+Or0eoWAImZxTP5vJIBAIwOl0wlFRgYDfD4Zh4Ha7kUgkIJfLUVtfh2AwCJ/Xi+rKKtTW1kIulyMSi0Iul0Oj0UClUqGvrw9mswnNzc0Qi8XQaDSUXZXwYCmVSvT09ECtVhfwDKVSKTgcDoRCIahVamg0Guj1erjdbrAsi/Pnz6OxqQlWK2cuTSS4HWR/fz+lbicfdzgcLojeEgqF1HQVjkQgk8loMEk8Hoe9pATZbJZbeeb6YzAYEItGMeV2Y8psRm1dLcZGRxEIBODz+6HXcb7OSDgMoUBII7uMJhO3iwqFIJPJIJVKodfr0dTUhP379iEYDFJqebGESyLmnqmFwWCA0WiEWs3JTSKVQq1WUx8MOVcul9MACbLKl8vlEIvFqK6uhtlshlKhQCaT4TjRxGJIJVLIZDIUyYogl8thMBig0Wggzi1+1Go1ioqKEI1G6TGZTIaioiKo1WpqgpXL5dQcpdVqkUwmEQ6HUVFRgXg8DqfTSZl7FQoFJQ4sLS2F1+uFRqOhVBznzp1DJBqFQCCgATiEvj0xPU37qtVqodVqkZiehjzXV6VKifr6ejhHRuAUCAoCYAQCAUpLS5HOpLnFnoALoiopKUE0EoFSqURRURF911qtFkqVColEgkYi1i9bhlAoBIZhoFQqIc8FzOQv2BiGQVlZGWKxGLRaLYpkMsgVcqg1GggEAioDu90OpVKJdDqN/v5+lJSUQCQSoaamBslkEmqVCgKhEOMTE5DLZNBpueCYkpISGnnodDrhmZpCMpkEwzDQaLWwWCwYHR2FyWRCsaUYJpMJJpMJcrkc3d3dEIvFkMvlCIfDBRHBOp2O67NSCalUStvp9/shFAppCpBOp0M4HMb4+PglzVU8riwuSXHt3LkTb7zxBt59913OfpzzSZEPur+/H2+88Qa+973vwWAwoL29HU888QTWr1+PpqYmAMCmTZtQX1+PH/3oR3jxxRfhcrnw3HPPYefOnZecO0QmlIceeghOpxP9AwP44MMPcO7cOdTV1eEXv/gFBgYGcOb0abSdbMOhQ4dQU1OD5cuX45NPPoHVZqNU7F2dXYjmosHSqTQG+vuxb98+3HrLLZjK+Xva29sRiURgtVrx4IMP4tVXX0VfXz8aGxqxefNmnDt/Du1nz0Kr1aKkxI5R5yg++OADfP8H38eN69bBYrGgxG5HKpVCfX09IqEw1Go1amtrkUwmUVFRAb1eD3XODxeJRLBhwwZEIhHIiopgt9shkUjg9XppEVST2QyrzQq/z4dMmqMn+dvf/ob7778fGo0G/f39+Oyzz9Db20tz7liWhVQqxbZt29CRM4edPXuWRqW53W6sueEGmMxm9Pf3Q6vVorS0FEuXLsWo04n29naw4NIe+vr6uMiskydRbOZWzclkEm63G2NjY/D5fPju5k0YGBhAOBxGV1cXYrEYSkpKsGPHDnR2dCIajSGZ4ZRqURG3kNBpdSgtLUU0EoHD4UBJiQ0SqQQKhQI2mw06nY4yUut0OspITKI4tVotdDodEokEGIbBypUrIZNzlVKam5vhnnQjnUpBrc4tCAwGVFdXo6SkBH6/H2qNhialSqVSeKc8sNls1PxVWlpKzbG6nO+JWB8IYanZbKYmNbVaDbPZDLPZDKfTicrKStjtdmryJIuoPXv2QKPRoL6+HqtWraL8bbt370Y4HKZ+zdLSUqRSKUSjUej0euj1elisVmzcuBGdHR2QSqQ4efIk/VZYloVEKoFRbcS6devAMAyKi4uxZs0ajI6OwlxcDKVKBYPBAHuOtdlsNsPr9dK8wzvuuANTU1McsafJBKPRAL1eT81ohKpGp9PBarVi3bp10Ov13D3tdprmUVFRAZeL8z35/X6cOXMGkUgES5cuxa233gqWZaFUKWlka1lpGcwmM5qampBKpzA8MoJ4PI7enh54PB4IRSLI5XKUlZVh+YoVOH78ODZs2IBl9fWoq6uDw+GAWCzG+++/j1WrVqGkpASJRAI+nw+jo6NwuVxYsWIFysrKoFarIZfLsWbNGjgcDhw8eJCaHBsaGrB69Wr09PTgL3/5yyXNVTyuLC6pyO5cyZF//OMf8eCDD8LpdOKHP/whOjo6EI1GUVpaijvuuAPPPfdcQRHF4eFhPProozhw4AAUCgV27NiBP/zhDwtOaCRFduW51adMJkM0GuXYgBNxyGXcb4QcMZ7gfDVFRUVQKBSQSjlWV7lcDkFuZTqz+CZZZTIMQxNhk8kkNbmpVCpEohEIBELIczlUxG+h1ek4H1Eup4cw5cbjcYglYmQz3E4mm83SNgUCARQVFUEikWBychJiiQRSiQQKpRLBQAAsy9KVPYkqJLQNRbIiuCfd9B0xDMPtHHL5OCR6amY4vF6vp32bnp6mOUUqlYoqoEQiQXdmiVwQhFgiASOVQqvTgc31OxwO0/wYhmGQTqdprpxCqeCixgRCSpNRVl6Ge/7+Hrz00kuUOZa0SygSQZ9TOqlUisvjkUiQzfGGKZVK6liPRqPcjkkmRygUorlkSqWSVhfR6XQ050csFlPCTJZlodFoEIlEqE+SvJ9wOAyVSkV3odPT05Sx2Ofz0WhQiURCfZZKpZLm+ySTSep/icfj0Gq1CIVClIE5n41XoVBwz8lmEA5HIM0xZEskEno/QjgpEoug1WgRiUSQSqfA5oJ2ppPTSKfS+Md//Ed0dXWhs7Pzgl2BycSxVadSKUhyuWCcjJOQy+SQSCXw+fyQ5KL8GIZBKByCQCCEMre7SqVSiCcSHB1JNIp4PF5Q2UQsFsNkMgHguLg0Gg0SiQQikQjWb1gPS7EFUobBX3bvRmJ6GulcG0hkoUwmo7ly6XQa4XAYS2tqUFtTg/Lycnz22Wfo6+/nAmRy3xDABWpls1lEYzEkEnEUMUUoKiqCWCymhJck504qldK+TE9PIx6PF7A/B4NBKBQK+u0T2WcyGcjlcqRSKRrZzOOr43KK7H4rqsOThMp8hzGJFCIKiXQzn5qcKOL5kmFJ4i9wIQnkQkFMZqQdBf6iXPInSYIk/icCkrQ712siiZMzyyKRewmFwjnryZFn5zPf5vebhNTPhfwq4qTNJAGZKCjSbpKkS3ZABoMBDQ0NOHLkyAVkg1caRA4AaJ+uxrAnDM+EZTu/9iLxF81Xzookfi+0QrtYLMa6deswPj5Ogw3ykZ9kO9tYvBikUmnBu57rOrIAze+3QCDApk2bYDAYIBAI8NZbb83K9UXSIfIThuvq6lBbWwuTyYRDhw6ht7f3ArkRec58t0RBzVy0kSTuucZCfoJ6fsL8Qr4LHpeG66Y6/MyBNhuLan5Gfj7yB/BCPtgrQbswX7FYUgFgrvMulq0/330XwqI8l1JbSJ9nk81c8sp/TiaTgdvtxp49ey76jCuBSynWeyWRv9CZ+R4XIt9LLWCbTqdx7NixCxihCb6qDBbanvy+kv8mCwdSxWIugkqy+58N+ZGYMzGXPGcrMEB8t/OBLDhmG988riwuZxG5KHdco6OjNJeLBw8ePHgsXjidzotGp8/EolRc2WwW3d3dXASV03nJ28zrAaFQCKWlpbx85gAvn/nBy+fi4GU0Py4mH5JLarPZLjnJe1GaCoVCIS3xpFar+UEzD3j5zA9ePvODl8/Fwctofswnn8tlsudrmfDgwYMHj0UFXnHx4MGDB49FhUWruBiGwfPPP39NCQ+/yeDlMz94+cwPXj4XBy+j+fF1ymdRBmfw4MGDB4/rF4t2x8WDBw8ePK5P8IqLBw8ePHgsKvCKiwcPHjx4LCrwiosHDx48eCwqLErF9dJLL2HJkiUoKipCS0vLBcSU1wt++9vf0qKp5F9tbS09nkgksHPnThgMBiiVStx1112UtPPbikOHDuH222+HzWaDQCC4gH6CZVn85je/gdVqhUwmQ2trK3p7ewvO8fl8eOCBByhz8UMPPfS1FwK+WriYfB588MELxtSWLVsKzvm2yueFF17AmjVrKPfW9u3bKRUQwUK+qZGREWzbtg1yuRxmsxlPPfXURWuOLhYsREa33HLLBWPokUceKTjnq8po0SmuP//5z/jlL3+J559/Hl988QWWL1+OzZs3w+12X+umXRMsW7YMExMT9N/hw4fpsSeeeALvv/8+3n77bRw8eBDj4+O48847r2Frv35Eo1EsX74cL7300qzHX3zxRfznf/4n/vu//xvHjx+HQqHA5s2bC4quPvDAA+js7MTevXsp0/fDDz98tbrwteJi8gGALVu2FIypN998s+D4t1U+Bw8exM6dO3Hs2DHs3bsXqVQKmzZtojx1wMW/qUwmg23btiGZTOLIkSP43//9X+zatQu/+c1vrkWXrjgWIiOA4+rLH0MvvvgiPXZFZMQuMtxwww3szp076d+ZTIa12WzsCy+8cA1bdW3w/PPPs8uXL5/1WCAQYCUSCfv222/T386dO8cCYI8ePXqVWnhtAYDdvXs3/TubzbIWi4X9t3/7N/pbIBBgGYZh33zzTZZlWbarq4sFwH7++ef0nA8++IAVCATs2NjYVWv71cBM+bAsy+7YsYP9wQ9+MOc115N83G43C4A9ePAgy7IL+6b+9re/sUKhkHW5XPScl19+mVWr1ez09PTV7cBVwEwZsSzLbtiwgf3FL34x5zVXQkaLaseVTCbR1taG1tZW+ptQKERrayuOHj16DVt27dDb2wubzYaKigo88MADGBkZAQC0tbUhlUoVyKq2thZlZWXXrawGBwfhcrkKZKLRaNDS0kJlcvToUWi1WqxevZqe09raCqFQiOPHj1/1Nl8LHDhwAGazGTU1NXj00Ufh9XrpsetJPsFgEACg1+sBLOybOnr0KBobG1FcXEzP2bx5M0KhEDo7O69i668OZsqI4PXXX4fRaERDQwOeeeYZxGIxeuxKyGhRFdn1eDzIZDIFHQY49tPz589fo1ZdO7S0tGDXrl2oqanBxMQE/vmf/xk333wzOjo64HK5IJVKodVqC64pLi6Gy+W6Ng2+xiD9nm38kGMulwtms7nguFgshl6vvy7ktmXLFtx5551wOBzo7+/Hs88+i61bt+Lo0aMQiUTXjXyy2Swef/xxrFu3Dg0NDQCwoG/K5XLNOr7IsW8TZpMRANx///0oLy+HzWZDe3s7nn76aXR3d+Odd94BcGVktKgUF49CbN26lf53U1MTWlpaUF5ejrfeegsymewatozHYsU//MM/0P9ubGxEU1MTKisrceDAAWzcuPEatuzqYufOnejo6CjwGfMoxFwyyvd3NjY2wmq1YuPGjejv70dlZeUVefaiMhUajUaIRKILongmJydhsViuUau+OdBqtVi6dCn6+vpgsViQTCYRCAQKzrmeZUX6Pd/4sVgsFwT6pNNp+Hy+61JuFRUVMBqN6OvrA3B9yOexxx7DX//6V+zfv7+A4HAh35TFYpl1fJFj3xbMJaPZ0NLSAgAFY+irymhRKS6pVIpVq1bhk08+ob9ls1l88sknWLt27TVs2TcDkUgE/f39sFqtWLVqFSQSSYGsuru7MTIyct3KyuFwwGKxFMgkFArh+PHjVCZr165FIBBAW1sbPWffvn3IZrP0A7yeMDo6Cq/XC6vVCuDbLR+WZfHYY49h9+7d2LdvHxwOR8HxhXxTa9euxdmzZwuU+969e6FWq1FfX391OvI14mIymg2nT58GgIIx9JVldJnBJNcMf/rTn1iGYdhdu3axXV1d7MMPP8xqtdqCCJXrBU8++SR74MABdnBwkP3ss8/Y1tZW1mg0sm63m2VZln3kkUfYsrIydt++fezJkyfZtWvXsmvXrr3Grf56EQ6H2VOnTrGnTp1iAbD/8R//wZ46dYodHh5mWZZl//CHP7BarZZ999132fb2dvYHP/gB63A42Hg8Tu+xZcsWtrm5mT1+/Dh7+PBhtrq6mr3vvvuuVZeuKOaTTzgcZn/1q1+xR48eZQcHB9mPP/6YXblyJVtdXc0mEgl6j2+rfB599FFWo9GwBw4cYCcmJui/WCxGz7nYN5VOp9mGhgZ206ZN7OnTp9kPP/yQNZlM7DPPPHMtunTFcTEZ9fX1sb/73e/YkydPsoODg+y7777LVlRUsOvXr6f3uBIyWnSKi2VZ9r/+67/YsrIyViqVsjfccAN77Nixa92ka4J7772XtVqtrFQqZUtKSth7772X7evro8fj8Tj7s5/9jNXpdKxcLmfvuOMOdmJi4hq2+OvH/v37WQAX/NuxYwfLslxI/K9//Wu2uLiYZRiG3bhxI9vd3V1wD6/Xy953332sUqlk1Wo1+5Of/IQNh8PXoDdXHvPJJxaLsZs2bWJNJhMrkUjY8vJy9qc//ekFi8Jvq3xmkwsA9o9//CM9ZyHf1NDQELt161ZWJpOxRqORffLJJ9lUKnWVe/P14GIyGhkZYdevX8/q9XqWYRi2qqqKfeqpp9hgMFhwn68qI57WhAcPHjx4LCosKh8XDx48ePDgwSsuHjx48OCxqMArLh48ePDgsajAKy4ePHjw4LGowCsuHjx48OCxqMArLh48ePDgsajAKy4ePHjw4LGowCsuHjx48OCxqMArLh48ePDgsajAKy4ePHjw4LGowCsuHjx48OCxqMArLh48ePDgsajw/wGGkOdTzGOI5AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for image, json in dataset:\n",
    "    break\n",
    "    \n",
    "plt.imshow(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DataLoader\n",
    "\n",
    "`WebDataset` is just an instance of a standard `IterableDataset`. It's a single-threaded way of iterating over a dataset.\n",
    "\n",
    "Since image decompression and data augmentation can be compute intensive, PyTorch usually uses the `DataLoader` class to parallelize data loading and preprocessing. `WebDataset` is fully compatible with the standard `DataLoader`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([8, 256, 256, 3]), torch.Size([8]))"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loader = torch.utils.data.DataLoader(dataset, num_workers=4, batch_size=8)\n",
    "\n",
    "batch = next(iter(loader))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `webdataset` library contains a small wrapper that adds a fluid interface to the `DataLoader` (and is otherwise identical).\n",
    "\n",
    "This comes in handy if you want to shuffle across dataset instances and allows you to change batch size dynamically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([12, 256, 256, 3]), torch.Size([12]))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loader = wds.WebLoader(dataset, num_workers=4, batch_size=8)\n",
    "loader = loader.unbatched().shuffle(1000).batched(12)\n",
    "\n",
    "batch = next(iter(loader))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is generally most efficient to avoid batching in the `DataLoader` altogether; instead, batch in the dataset and then rebatch after the loader.\n",
    "\n",
    "A complete pipeline then looks like this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([12, 256, 256, 3]), torch.Size([12]))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = \"http://storage.googleapis.com/nvdata-publaynet/publaynet-train-{000000..000009}.tar\"\n",
    "dataset = wds.WebDataset(url).shuffle(1000).decode(\"rgb\").to_tuple(\"png\", \"json\").map(preprocess)\n",
    "dataset = dataset.compose(get_patches)\n",
    "dataset = dataset.batched(16)\n",
    "\n",
    "loader = wds.WebLoader(dataset, num_workers=4, batch_size=None)\n",
    "loader = loader.unbatched().shuffle(1000).batched(12)\n",
    "\n",
    "batch = next(iter(loader))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pipeline Interface\n",
    "\n",
    "The `wds.WebDataset` fluid interface is just a convenient shorthand for writing down pipelines. The underlying pipeline is an instance of the `wds.DataPipeline` class, and you can construct data pipelines explicitly, similar to the way you use `nn.Sequential` inside models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([12, 256, 256, 3]), torch.Size([12]))"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = wds.DataPipeline(\n",
    "    wds.SimpleShardList(url),\n",
    "    # at this point we have an iterator over all the shards\n",
    "    wds.shuffle(100),\n",
    "    wds.split_by_worker,\n",
    "    # at this point, we have an iterator over the shards assigned to each worker\n",
    "    wds.tarfile_to_samples(),\n",
    "    wds.shuffle(1000),\n",
    "    wds.decode(\"torchrgb\"),\n",
    "    # at this point, we have an list of decompressed training samples from each shard in this worker in sequence\n",
    "    get_patches,  # note that can put iterator->iterator functions into the pipeline directly\n",
    "    wds.shuffle(10000),\n",
    "    wds.to_tuple(\"big.jpg\", \"json\"),\n",
    "    wds.batched(16)\n",
    ")\n",
    "\n",
    "batch = next(iter(loader))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multinode Training\n",
    "\n",
    "Multinode training in PyTorch and other frameworks is complex. It depends on how exactly you distribute training across nodes, whether you want to keep \"exact epochs\" (exactly and only one sample from the dataset per epoch), and whether your training framework can deal with unequal number of samples per node.\n",
    "\n",
    "The simplest solution for multinode training is to use a resampling strategy for the shards, generating an infinite stream of samples. You then set the epoch length explicitly with the `.with_epoch` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = wds.WebDataset(url, resampled=True).shuffle(1000).decode(\"rgb\").to_tuple(\"png\", \"json\").map(preprocess).with_epoch(10000)\n",
    "sample = next(iter(dataset))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inside a pipeline, you can do the same thing using the `ResampledShards` generator. Shuffling and splitting by worker are then not needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([12, 256, 256, 3]), torch.Size([12]))"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = wds.DataPipeline(\n",
    "    wds.ResampledShards(url),\n",
    "    # at this point we have an iterator over all the shards\n",
    "    wds.tarfile_to_samples(),\n",
    "    wds.shuffle(1000),\n",
    "    wds.decode(\"torchrgb\"),\n",
    "    # at this point, we have an list of decompressed training samples from each shard in this worker in sequence\n",
    "    get_patches,  # note that can put iterator->iterator functions into the pipeline directly\n",
    "    wds.shuffle(10000),\n",
    "    wds.to_tuple(\"big.jpg\", \"json\"),\n",
    "    wds.batched(16)\n",
    ").with_epoch(10000)\n",
    "\n",
    "batch = next(iter(loader))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, you can use a nodesplitter and split shards exactly between different nodes. In that case, the I/O system cannot guarantee that exactly the same number of batches is delivered to every GPU. This means that you need to use the [Join context manager](https://pytorch.org/tutorials/advanced/generic_join.html) in your training loop. That is illustrated [here](https://pytorch.org/tutorials/advanced/generic_join.html).\n",
    "\n",
    "You first need to add a nodesplitter to your loader:\n",
    "\n",
    "```\n",
    "dataset = wds.WebDataset(urls, ..., nodesplitter=wds.split_by_node)\n",
    "```\n",
    "\n",
    "Then you need to wrap your per-epoch training loop like this:\n",
    "\n",
    "```\n",
    "with Join([model]):\n",
    "    for input in inputs:\n",
    "        num_inputs += 1\n",
    "        loss = model(input).sum()\n",
    "        loss.backward()\n",
    "```\n",
    "\n",
    "You can see an example of this in the [webdataset/webdataset-imagenet](http://github.com/webdataset/webdataset-imagenet) repository."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installation and Documentation\n",
    "\n",
    "    $ pip install webdataset\n",
    "\n",
    "For the Github version:\n",
    "\n",
    "    $ pip install git+https://github.com/tmbdev/webdataset.git\n",
    "\n",
    "Here are some videos talking about WebDataset and large scale deep learning:\n",
    "\n",
    "- [Introduction to Large Scale Deep Learning](https://www.youtube.com/watch?v=kNuA2wflygM)\n",
    "- [Loading Training Data with WebDataset](https://www.youtube.com/watch?v=mTv_ePYeBhs)\n",
    "- [Creating Datasets in WebDataset Format](https://www.youtube.com/watch?v=v_PacO-3OGQ)\n",
    "- [Tools for Working with Large Datasets](https://www.youtube.com/watch?v=kIv8zDpRUec)\n",
    "\n",
    "Examples: (NB: some of these are for older versions of WebDataset, but the differences should be small)\n",
    "\n",
    "- [loading videos](https://github.com/tmbdev/webdataset/blob/master/docs/video-loading-example.ipynb)\n",
    "- [splitting raw videos into clips for training](https://github.com/tmbdev/webdataset/blob/master/docs/ytsamples-split.ipynb)\n",
    "- [converting the Falling Things dataset](https://github.com/tmbdev/webdataset/blob/master/docs/falling-things-make-shards.ipynb)\n",
    "\n",
    "# Dependencies\n",
    "\n",
    "The WebDataset library only requires PyTorch, NumPy, and a small library called `braceexpand`.\n",
    "\n",
    "WebDataset loads a few additional libraries dynamically only when they are actually needed and only in the decoder:\n",
    "\n",
    "- PIL/Pillow for image decoding\n",
    "- `torchvision`, `torchvideo`, `torchaudio` for image/video/audio decoding\n",
    "- `msgpack` for MessagePack decoding\n",
    "- the `curl` command line tool for accessing HTTP servers\n",
    "- the Google/Amazon/Azure command line tools for accessing cloud storage buckets\n",
    "\n",
    "Loading of one of these libraries is triggered by configuring a decoder that attempts to decode content in the given format and encountering a file in that format during decoding. (Eventually, the torch... dependencies will be refactored into those libraries.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Decoding\n",
    "\n",
    "Data decoding is a special kind of transformations of samples. You could simply write a decoding function like this:\n",
    "\n",
    "```Python\n",
    "def my_sample_decoder(sample):\n",
    "    result = dict(__key__=sample[\"__key__\"])\n",
    "    for key, value in sample.items():\n",
    "        if key == \"png\" or key.endswith(\".png\"):\n",
    "            result[key] = mageio.imread(io.BytesIO(value))\n",
    "        elif ...:\n",
    "            ...\n",
    "    return result\n",
    "\n",
    "dataset = wds.Processor(wds.map, my_sample_decoder)(dataset)\n",
    "```\n",
    "\n",
    "This gets tedious, though, and it also unnecessarily hardcodes the sample's keys into the processing pipeline. To help with this, there is a helper class that simplifies this kind of code. The primary use of `Decoder` is for decoding compressed image, video, and audio formats, as well as unzipping `.gz` files.\n",
    "\n",
    "Here is an example of automatically decoding `.png` images with `imread` and using the default `torch_video` and `torch_audio` decoders for video and audio:\n",
    "\n",
    "```Python\n",
    "def my_png_decoder(key, value):\n",
    "    if not key.endswith(\".png\"):\n",
    "        return None\n",
    "    assert isinstance(value, bytes)\n",
    "    return imageio.imread(io.BytesIO(value))\n",
    "\n",
    "dataset = wds.Decoder(my_png_decoder, wds.torch_video, wds.torch_audio)(dataset)\n",
    "```\n",
    "\n",
    "You can use whatever criteria you like for deciding how to decode values in samples. When used with standard `WebDataset` format files, the keys are the full extensions of the file names inside a `.tar` file. For consistency, it's recommended that you primarily rely on the extensions (e.g., `.png`, `.mp4`) to decide which decoders to use. There is a special helper function that simplifies this:\n",
    "\n",
    "```Python\n",
    "def my_decoder(value):\n",
    "    return imageio.imread(io.BytesIO(value))\n",
    "    \n",
    "dataset = wds.Decoder(wds.handle_extension(\".png\", my_decoder))(dataset)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Alternative Representation: CBOR\n",
    "\n",
    "An alternative representation of collections of samples is based on the IETF CBOR standard, an efficient, binary representation of data structures. CBOR files are particularly useful for large collections of very small samples (data tuples, short strings, etc.)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cbor\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Writing CBOR files is very easy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"test.cbors\", \"wb\") as stream:\n",
    "    for i in np.linspace(-5.0, 5.0, 1000):\n",
    "        cbor.dump((i, str(i)[-5:]), stream)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course, you can these files directly:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-5.0, '-5.0']\n",
      "[-4.98998998998999, '98999']\n",
      "[-4.97997997997998, '97998']\n"
     ]
    }
   ],
   "source": [
    "with open(\"test.cbors\", \"rb\") as stream:\n",
    "    for i in range(3):\n",
    "        print(cbor.load(stream))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And CBOR files/shards integrate fully into `DataPipeline` with the `cbors_to_samples` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, [-5.0, '-5.0'])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = wds.DataPipeline(\n",
    "    wds.SimpleShardList(\"test.cbors\"),\n",
    "    wds.cbors_to_samples(),\n",
    ")\n",
    "data = list(iter(dataset))\n",
    "len(data), data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# \"Smaller\" Datasets and Desktop Computing\n",
    "\n",
    "WebDataset is an ideal solution for training on petascale datasets kept on high performance distributed data stores like AIStore, AWS/S3, and Google Cloud. Compared to data center GPU servers, desktop machines have much slower network connections, but training jobs on desktop machines often also use much smaller datasets. WebDataset also is very useful for such smaller datasets, and it can easily be used for developing and testing on small datasets and then scaling up to large datasets by simply using more shards.\n",
    "\n",
    "\n",
    "Here are different usage scenarios:\n",
    "\n",
    "- **desktop deep learning, smaller datasets**\n",
    "    - copy all shards to local disk manually\n",
    "    - use automatic shard caching\n",
    "- **prototyping, development, testing of jobs for large scale training**\n",
    "    - copy a small subset of shards to local disk\n",
    "    - use automatic shard caching with a small subrange of shards\n",
    "- **cloud training against cloud buckets**\n",
    "    - use WebDataset directly with remote URLs\n",
    "- **on premises training with high performance store (e.g., AIStore) and fast networks**\n",
    "    - use WebDataset directly with remote URLs\n",
    "- **on premises training with slower object stores and/or slower networks**\n",
    "    - use automatic shard caching\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Location Independence, Caching, Etc.\n",
    "\n",
    "WebDataset makes it easy to use a single specification for your datasets and run your code without change in different environments.\n",
    "\n",
    "## Loadable Dataset Specifications\n",
    "\n",
    "If you write your input pipelines such that they are defined by a dataset specification in some language, you can most easily retarget your training pipelines to different datasets. You can do this either by dynamically loading the Python code that constructs the pipeline or by using a YAML/JSON dataset specification. \n",
    "\n",
    "A YAML dataset specification looks like this:\n",
    "\n",
    "```\n",
    "dataset:\n",
    "  - shards: gs://nvdata-ocropus-tess/ia1-{000000..000033}.tar\n",
    "    scaleprob: 0.3\n",
    "  - shards: gs://nvdata-ocropus-tess/cdipsub-{000000..000022}.tar\n",
    "    scale: [1.0, 3.0]\n",
    "  - shards: gs://nvdata-ocropus-tess/gsub-{000000..000167}.tar\n",
    "    scale: [0.4, 1.0]\n",
    "  - shards: gs://nvdata-ocropus-tess/bin-gsub-{000000..000167}.tar\n",
    "    extensions: nrm.jpg\n",
    "    scale: [0.3, 1.0]\n",
    "  - shards: gs://nvdata-ocropus/rendered.tar\n",
    "    scaleprob: 1.0\n",
    "```\n",
    "\n",
    "Note that datasets can be composed from different shard collections, mixed in different proportions.\n",
    "\n",
    "The dataset specification reader will be integrated in the next minor version update.\n",
    "\n",
    "## AIStore Proxy\n",
    "\n",
    "\n",
    "If you want to use an AISTore server as a cache, you can tell any WebDataset pipeline to replace direct accesses to your URLs to proxied accesses via the AIStore server. To do that, you need to set a couple of environment variables.\n",
    "\n",
    "```\n",
    "export AIS_ENDPOINT=http://nix:51080\n",
    "export USE_AIS_FOR=\"gs\"\n",
    "```\n",
    "\n",
    "Now, any accesses to Google Cloud Storage (`gs://` urls) will be routed through the AIS server.\n",
    "\n",
    "## URL Rewriting\n",
    "\n",
    "You can rewrite URLs using regular expressions via an environment variable; the syntax is `WDS_REWRITE=regex=regex;regex=regex`.\n",
    "\n",
    "For example, to replace `gs://` accesses with local file accesses, use\n",
    "\n",
    "```\n",
    "export WDS_REWRITE=\"gs://=/shared/data/\"\n",
    "```\n",
    "\n",
    "To access Google cloud data via ssh, you might use something like:\n",
    "\n",
    "```\n",
    "export WDS_REWRITE=\"gs://=pipe:ssh proxyhost gsutil cat \"\n",
    "```\n",
    "\n",
    "## Use the Caching Mechanism\n",
    "\n",
    "If you use the built-in caching mechanism, you can simply download shards to a local directory and specify that directory as the cache directory. The shards in that directory will override the shards that are being downloaded. Shards in the cache are mapped based on the pathname and file name of your shard names.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Direct Copying of Shards\n",
    "\n",
    "Let's take the OpenImages dataset as an example; it's half a terabyte large. For development and testing, you may not want to download the entire dataset, but you may also not want to use the dataset remotely. With WebDataset, you can just download a small number of shards and use them during development."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "!curl -L -s http://storage.googleapis.com/nvdata-openimages/openimages-train-000000.tar > /tmp/openimages-train-000000.tar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"{'__key__': 'e39871fd9fd74f55', '__url__': '/tmp/openimages-train-000000.tar', 'jpg': b'\\\\xff\\\\xd8\\\\xff\\\\xe0\\\\x00\\\\x10JFIF\\\\x00\\\\x01\\\\x01\\\\x01\\\\x01:\\\\x01:\\\\x00\\\\x00\\\\xff\\\\xdb\\\\x00C\\\\x00\\\\x06\\\\x04\\\\x05\\\\x06\\\\x05\\\\x04\\\\x06\\\\x06\\\\\""
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = wds.DataPipeline(\n",
    "    wds.SimpleShardList(\"/tmp/openimages-train-000000.tar\"),\n",
    "    wds.tarfile_to_samples(),\n",
    ")\n",
    "repr(next(iter(dataset)))[:200]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the WebDataset class works the same way on local files as it does on remote files. Furthermore, unlike other kinds of dataset formats and archive formats, downloaded datasets are immediately useful and don't need to be unpacked."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating a WebDataset\n",
    "\n",
    "## Using `tar`\n",
    "\n",
    "Since WebDatasets are just regular tar files, you can usually create them by just using the `tar` command. All you have to do is to arrange for any files that should be in the same sample to share the same basename. Many datasets already come that way. For those, you can simply create a WebDataset with\n",
    "\n",
    "```\n",
    "$ tar --sort=name -cf dataset.tar dataset/\n",
    "```\n",
    "\n",
    "If your dataset has some other directory layout, you may need a different file name in the archive from the name on disk. You can use the `--transform` argument to GNU tar to transform file names. You can also use the `-T` argument to read the files from a text file and embed other options in that text file.\n",
    "\n",
    "## The `tarp create` Command\n",
    "\n",
    "The [`tarp`](https://github.com/tmbdev/tarp) command is a little utility for manipulating `tar` archives. Its `create` subcommand makes it particularly simple to construct tar archives from files. The `tarp create` command takes a recipe for building\n",
    "a tar archive that contains lines of the form:\n",
    "\n",
    "```\n",
    "archive-name-1 source-name-1\n",
    "archive-name-2 source-name-2\n",
    "...\n",
    "```\n",
    "\n",
    "The source name can either be a file, \"text:something\", or \"pipe:something\".\n",
    "\n",
    "## Programmatically in Python\n",
    "\n",
    "You can also create a WebDataset with library functions in this library:\n",
    "\n",
    "- `webdataset.TarWriter` takes dictionaries containing key value pairs and writes them to disk\n",
    "- `webdataset.ShardWriter` takes dictionaries containing key value pairs and writes them to disk as a series of shards\n",
    "\n",
    "Here is a quick way of converting an existing dataset into a WebDataset; this will store all tensors as Python pickles:\n",
    "\n",
    "```Python\n",
    "sink = wds.TarWriter(\"dest.tar\")\n",
    "dataset = open_my_dataset()\n",
    "for index, (input, output) in dataset:\n",
    "    sink.write({\n",
    "        \"__key__\": \"sample%06d\" % index,\n",
    "        \"input.pyd\": input,\n",
    "        \"output.pyd\": output,\n",
    "    })\n",
    "sink.close()\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Storing data as Python pickles allows most common Python datatypes to be stored, it is lossless, and the format is fast to decode.\n",
    "However, it is uncompressed and cannot be read by non-Python programs. It's often better to choose other storage formats, e.g.,\n",
    "taking advantage of common image compression formats.\n",
    "\n",
    "If you know that the input is an image and the output is an integer class, you can also write something like this:\n",
    "\n",
    "```Python\n",
    "sink = wds.TarWriter(\"dest.tar\")\n",
    "dataset = open_my_dataset()\n",
    "for index, (input, output) in dataset:\n",
    "    assert input.ndim == 3 and input.shape[2] == 3\n",
    "    assert input.dtype = np.float32 and np.amin(input) >= 0 and np.amax(input) <= 1\n",
    "    assert type(output) == int\n",
    "    sink.write({\n",
    "        \"__key__\": \"sample%06d\" % index,\n",
    "        \"input.jpg\": input,\n",
    "        \"output.cls\": output,\n",
    "    })\n",
    "sink.close()\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `assert` statements in that loop are not necessary, but they document and illustrate the expectations for this\n",
    "particular dataset. Generally, the \".jpg\" encoder can actually encode a wide variety of array types as images. The\n",
    "\".cls\" encoder always requires an integer for encoding.\n",
    "\n",
    "Here is how you can use `TarWriter` for writing a dataset without using an encoder:\n",
    "\n",
    "```Python\n",
    "sink = wds.TarWriter(\"dest.tar\", encoder=False)\n",
    "for basename in basenames:\n",
    "    with open(f\"{basename}.png\", \"rb\") as stream):\n",
    "        image = stream.read()\n",
    "    cls = lookup_cls(basename)\n",
    "    sample = {\n",
    "        \"__key__\": basename,\n",
    "        \"input.png\": image,\n",
    "        \"target.cls\": cls\n",
    "    }\n",
    "    sink.write(sample)\n",
    "sink.close()\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since no encoder is used, if you want to be able to read this data with the default decoder, `image` must contain a byte string corresponding to a PNG image (as indicated by the \".png\" extension on its dictionary key), and `cls` must contain an integer encoded in ASCII (as indicated by the \".cls\" extension on its dictionary key).\n",
    "\n",
    "# Writing Filters and Offline Augmentation\n",
    "\n",
    "Webdataset can be used for filters and offline augmentation of datasets. Here is a complete example that pre-augments a shard and extracts class labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import transforms\n",
    "from itertools import islice\n",
    "\n",
    "def extract_class(data):\n",
    "    # mock implementation\n",
    "    return 0\n",
    "\n",
    "def preproc(image):\n",
    "    image = transforms.ToTensor()(image)\n",
    "    # more preprocessing here\n",
    "    return image\n",
    "\n",
    "def augment_wds(input, output, maxcount=999999999):\n",
    "    src = wds.DataPipeline(\n",
    "        wds.SimpleShardList(input),\n",
    "        wds.tarfile_to_samples(),\n",
    "        wds.decode(\"pil\"),\n",
    "        wds.to_tuple(\"__key__\", \"jpg;png\", \"json\"),\n",
    "        wds.map_tuple(None, preproc, None),\n",
    "    )\n",
    "    with wds.TarWriter(output) as dst:\n",
    "        for key, image, data in islice(src, 0, maxcount):\n",
    "            print(key)\n",
    "            image = image.numpy().transpose(1, 2, 0)\n",
    "            image -= np.amin(image)\n",
    "            image /= np.amax(image)\n",
    "            sample = {\n",
    "                \"__key__\": key,\n",
    "                \"png\": image,\n",
    "                \"cls\": extract_class(data)\n",
    "            }\n",
    "            dst.write(sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now run the augmentation pipeline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "e39871fd9fd74f55\n",
      "f18b91585c4d3f3e\n",
      "ede6e66b2fb59aab\n",
      "ed600d57fcee4f94\n",
      "ff47e649b23f446d\n"
     ]
    }
   ],
   "source": [
    "url = \"http://storage.googleapis.com/nvdata-openimages/openimages-train-000000.tar\"\n",
    "url = f\"pipe:curl -L -s {url} || true\"\n",
    "augment_wds(url, \"_temp.tar\", maxcount=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To verify that things worked correctly, let's look at the output file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "e39871fd9fd74f55.cls\n",
      "e39871fd9fd74f55.png\n",
      "f18b91585c4d3f3e.cls\n",
      "f18b91585c4d3f3e.png\n",
      "ede6e66b2fb59aab.cls\n",
      "ede6e66b2fb59aab.png\n",
      "ed600d57fcee4f94.cls\n",
      "ed600d57fcee4f94.png\n",
      "ff47e649b23f446d.cls\n",
      "ff47e649b23f446d.png\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "tar tf _temp.tar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to preprocess the entire OpenImages dataset with a process like this, you can use your favorite job queueing or worflow system.\n",
    "\n",
    "For example, using Dask, you could process all 554 shards in parallel using code like this:\n",
    "\n",
    "```Python\n",
    "shards = braceexpand.braceexpand(\"{000000..000554}\")\n",
    "inputs = [f\"gs://bucket/openimages-{shard}.tar\" for shard in shards]\n",
    "outputs = [f\"gs://bucket2/openimages-augmented-{shard}.tar\" for shard in shards]\n",
    "results = [dask.delayed(augment_wds)(args) for args in zip(inputs, outputs)]\n",
    "dask.compute(*results)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the data is streaming from and to Google Cloud Storage buckets, so very little local storage is required on each worker.\n",
    "\n",
    "For very large scale processing, it's easiest to submit separate jobs to a Kubernetes cluster using the Kubernetes `Job` template, or using a workflow engine like Argo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whether you prefer `WebDataset` or `Dataset` is a matter of style."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Syntax for URL Sources\n",
    "\n",
    "The `SimpleShardList` and `ResampledShards` take either a string or a list of URLs as an argument. If it is given a string, the string is expanded using the `braceexpand` library. So, the following are equivalent:\n",
    "\n",
    "```Python\n",
    "ShardList(\"dataset-{000..001}.tar\")\n",
    "ShardList([\"dataset-000.tar\", \"dataset-001.tar\"])\n",
    "```\n",
    "\n",
    "The url strings in a shard list are handled by default by the `webdataset.url_opener` filter. It recognizes three simple kinds of strings: \"-\", \"/path/to/file\", and \"pipe:command\":\n",
    "\n",
    "- the string \"-\", referring to stdin\n",
    "- a UNIX path, opened as a regular file\n",
    "- a URL-like string with the schema \"pipe:\"; such URLs are opened with `subprocess.Popen`. For example:\n",
    "    - `pipe:curl -s -L http://server/file` accesses a file via HTTP\n",
    "    - `pipe:gsutil cat gs://bucket/file` accesses a file on GCS\n",
    "    - `pipe:az cp --container bucket --name file --file /dev/stdout` accesses a file on Azure\n",
    "    - `pipe:ssh host cat file` accesses a file via `ssh`\n",
    "\n",
    "It might seem at first glance to be \"more efficient\" to use built-in Python libraries for accessing object stores rather than subprocesses, but efficient object store access from Python really requires spawning a separate process anyway, so this approach to accessing object stores is not only convenient, it also is as efficient as we can make it in Python."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Length Properties\n",
    "\n",
    "WebDataset instances are subclasses of `IterableDataset`. These instances are not supposed to have a `__len__` method, and some code actually tests for that.\n",
    "\n",
    "If you want to have a length property on your dataset, use the `with_length(n)` method with whatever length you would like to  set.\n",
    "\n",
    "If you want to change the size of the epoch, i.e., if you want to force the iterator to quit after a given number of samples or batches, use the `with_epoch` method.\n",
    "\n",
    "You can combine both methods; use `with_length` last."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tar Header Overhead\n",
    "\n",
    "Tar imposes a 512 byte overhead for each file stored in the archive. For most applications, this is not an issue because images and other content tends to be much larger.\n",
    "\n",
    "If you have datasets that contain large amounts of small files (e.g., text-only training, etc.), this overhead may become significant. In that case, you have several options:\n",
    "\n",
    "- store some or all of your sample in JSON, MsgPack, or CBOR format\n",
    "- gzip-compress your tar file (use .tgz instead of .tar); WebDatset will automatically decompress\n",
    "- pre-batch the data (not recommended)\n",
    "\n",
    "Both of the first options are very simple. To store your entire sample in MsgPack format, do something like this:\n",
    "\n",
    "```\n",
    "# Writing\n",
    "\n",
    "    ... construct sample ...\n",
    "    sample = dict(mp=sample)\n",
    "    writer.write(sample)\n",
    "\n",
    "# Reading\n",
    "\n",
    "    dataset = ... initial construction ...\n",
    "    dataset = dataset.map(sample: sample[\"mp\"])\n",
    "    ... use sample as usual ...\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Related Libraries and Software\n",
    "\n",
    "The [AIStore](http://github.com/NVIDIA/aistore) server provides an efficient backend for WebDataset; it functions like a combination of web server, content distribution network, P2P network, and distributed file system. Together, AIStore and WebDataset can serve input data from rotational drives distributed across many servers at the speed of local SSDs to many GPUs, at a fraction of the cost. We can easily achieve hundreds of MBytes/s of I/O per GPU even in large, distributed training jobs.\n",
    "\n",
    "The [tarproc](http://github.com/tmbdev/tarproc) utilities provide command line manipulation and processing of webdatasets and other tar files, including splitting, concatenation, and `xargs`-like functionality.\n",
    "\n",
    "The [tensorcom](http://github.com/tmbdev/tensorcom/) library provides fast three-tiered I/O; it can be inserted between [AIStore](http://github.com/NVIDIA/aistore) and [WebDataset](http://github.com/tmbdev/webdataset) to permit distributed data augmentation and I/O. It is particularly useful when data augmentation requires more CPU than the GPU server has available.\n",
    "\n",
    "You can find the full PyTorch ImageNet sample code converted to WebDataset at [tmbdev/pytorch-imagenet-wds](http://github.com/tmbdev/pytorch-imagenet-wds)\n"
   ]
  }
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